Jakub Nowotarski : Citation Profile

Are you Jakub Nowotarski?

Politechnika Wrocławska

10

H index

10

i10 index

606

Citations

RESEARCH PRODUCTION:

9

Articles

16

Papers

RESEARCH ACTIVITY:

   6 years (2012 - 2018). See details.
   Cites by year: 101
   Journals where Jakub Nowotarski has often published
   Relations with other researchers
   Recent citing documents: 112.    Total self citations: 23 (3.66 %)

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   Permalink: http://citec.repec.org/pno175
   Updated: 2023-03-25    RAS profile: 2023-03-16    
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Jakub Nowotarski.

Is cited by:

Weron, Rafał (179)

Marcjasz, Grzegorz (110)

Uniejewski, Bartosz (106)

Serafin, Tomasz (31)

Maciejowska, Katarzyna (29)

Nitka, Weronika (13)

Weron, Tomasz (11)

Grossi, Luigi (10)

Gianfreda, Angelica (9)

Trueck, Stefan (8)

Nan, Fany (8)

Cites to:

Weron, Rafał (159)

Misiorek, Adam (43)

Trueck, Stefan (31)

Hong, Tao (30)

Maciejowska, Katarzyna (23)

Janczura, Joanna (16)

Lisi, Francesco (14)

Nan, Fany (14)

Timmermann, Allan (10)

Hyndman, Rob (9)

Wallis, Kenneth (9)

Main data

Where Jakub Nowotarski has published?

Journals with more than one article published# docs
Energy Economics3
International Journal of Forecasting2

Working Papers Series with more than one paper published# docs
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Technology15

Recent works citing Jakub Nowotarski (2022 and 2021)

YearTitle of citing document
2021Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Jędrzejewski, Arkadiusz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2104.

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2021Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method. (2021). Sotiros, Dimitrios ; Serafin, Tomasz ; Nitka, Weronika. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2106.

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2021Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Dubrawski, Artur ; Challu, Cristian ; Olivares, Kin G. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2107.

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2021Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices. (2020). Nott, David J ; Smith, Michael Stanley ; Klein, Nadja. In: Papers. RePEc:arx:papers:2010.01844.

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2021Modeling and Probababilistic Forecasting of Natural Gas Prices. (2020). Ziel, Florian ; Berrisch, Jonathan. In: Papers. RePEc:arx:papers:2010.06227.

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2022Optimal bidding on hourly and quarter-hourly day-ahead electricity price auctions: trading large volumes of power with market impact and transaction costs. (2021). Narajewski, Michal ; Ziel, Florian. In: Papers. RePEc:arx:papers:2104.14204.

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2022A Dual Generalized Long Memory Modelling for Forecasting Electricity Spot Price: Neural Network and Wavelet Estimate. (2022). Belkacem, Lotfi ; Boubaker, Heni ; ben Amor, Souhir. In: Papers. RePEc:arx:papers:2204.08289.

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2022Predictive Accuracy of a Hybrid Generalized Long Memory Model for Short Term Electricity Price Forecasting. (2022). Belkacem, Lotfi ; Boubaker, Heni ; ben Amor, Souhir. In: Papers. RePEc:arx:papers:2204.09568.

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2022From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting. (2022). Kruger, Fabian ; Kachele, Fabian ; Grothe, Oliver. In: Papers. RePEc:arx:papers:2204.10154.

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2022Forecasting Electricity Prices. (2022). Weron, Rafał ; Uniejewski, Bartosz ; Maciejowska, Katarzyna. In: Papers. RePEc:arx:papers:2204.11735.

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2022Probabilistic forecasting of German electricity imbalance prices. (2022). Narajewski, Michal. In: Papers. RePEc:arx:papers:2205.11439.

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2022Distributional neural networks for electricity price forecasting. (2022). Ziel, Florian ; Weron, Rafal ; Narajewski, Michal ; Marcjasz, Grzegorz. In: Papers. RePEc:arx:papers:2207.02832.

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2022LASSO Principal Component Averaging -- a fully automated approach for point forecast pooling. (2022). Maciejowska, Katarzyna ; Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2207.04794.

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2022Bayesian Forecasting in the 21st Century: A Modern Review. (2022). Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Maneesoonthorn, Worapree ; Frazier, David T ; Martin, Gael M ; Panagiotelis, Anastasios ; Nibbering, Didier ; Maheu, John . In: Papers. RePEc:arx:papers:2212.03471.

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2023Matching of Everyday Power Supply and Demand with Dynamic Pricing: Problem Formalisation and Conceptual Analysis. (2023). Ernst, Damien ; Sutera, Antonio ; Th, Thibaut. In: Papers. RePEc:arx:papers:2301.11587.

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2023Smoothing Quantile Regression Averaging: A new approach to probabilistic forecasting of electricity prices. (2023). Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2302.00411.

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2022Machine Learning Methods for Inflation Forecasting in Brazil: new contenders versus classical models. (2022). Gaglianone, Wagner ; Araujo, Gustavo Silva. In: Working Papers Series. RePEc:bcb:wpaper:561.

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2022A procedure for upgrading linear-convex combination forecasts with an application to volatility prediction. (2022). Wilfling, Bernd ; Monschang, Verena. In: CQE Working Papers. RePEc:cqe:wpaper:9722.

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2022A Neural Network-Based Distributional Constraint Learning Methodology for Mixed-Integer Stochastic Optimization. (2022). Mora, Carlos Ruiz ; Mata, Antonio Alcantara. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:36072.

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2021Multi-Day-Ahead Electricity Price Forecasting: A Comparison of fundamental, econometric and hybrid Models. (2021). Vogler, Arne ; Beran, Philip. In: EWL Working Papers. RePEc:dui:wpaper:2102.

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2021Data-driven real-time price-based demand response for industrial facilities energy management. (2021). Ding, Yuemin ; Jiang, Junhui ; Li, Yuting ; Huang, Yuan ; Bai, Ruichang ; Lu, Renzhi. In: Applied Energy. RePEc:eee:appene:v:283:y:2021:i:c:s0306261920316779.

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2021Assessing the performance of deep learning models for multivariate probabilistic energy forecasting. (2021). Honkapuro, Samuli ; Kaarna, Arto ; Lensu, Lasse ; Kuronen, Toni ; Mashlakov, Aleksei. In: Applied Energy. RePEc:eee:appene:v:285:y:2021:i:c:s0306261920317748.

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2021Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2021). Weron, Rafał ; de Schutter, Bart ; Marcjasz, Grzegorz ; Lago, Jesus. In: Applied Energy. RePEc:eee:appene:v:293:y:2021:i:c:s0306261921004529.

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2021Adjusted combination of moving averages: A forecasting system for medium-term solar irradiance. (2021). Trapero, Juan R ; Pedregal, Diego J. In: Applied Energy. RePEc:eee:appene:v:298:y:2021:i:c:s0306261921005882.

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2021Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges. (2021). Tang, Yong ; Pei, Ming ; Dai, Binhua ; Zhao, Yongning ; Ye, Lin ; Lu, Peng. In: Applied Energy. RePEc:eee:appene:v:301:y:2021:i:c:s0306261921008369.

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2021Day-ahead probabilistic forecasting for French half-hourly electricity loads and quantiles for curve-to-curve regression. (2021). Yao, Qiwei ; Goude, Yannig ; Chen, Ying ; Xu, Xiuqin. In: Applied Energy. RePEc:eee:appene:v:301:y:2021:i:c:s0306261921008539.

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2021Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting. (2021). Paterakis, Nikolaos G ; Kok, Koen ; Mincev, Krystof ; Demir, Sumeyra. In: Applied Energy. RePEc:eee:appene:v:304:y:2021:i:c:s0306261921010527.

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2021Short-term nodal voltage forecasting for power distribution grids: An ensemble learning approach. (2021). Toubeau, Jean-Franois ; Zufferey, Thierry ; von Krannichfeldt, Leandro ; Wang, YI. In: Applied Energy. RePEc:eee:appene:v:304:y:2021:i:c:s0306261921011971.

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2022Solar and wind power generation forecasts using elastic net in time-varying forecast combinations. (2022). Musgens, Felix ; Kaso, Mathias ; Nikodinoska, Dragana . In: Applied Energy. RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921012861.

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2022An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting. (2022). Wang, Shouyang ; Han, Jing ; Sun, Shaolong ; Guo, Ju-e, ; Yang, Dongchuan. In: Applied Energy. RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921012952.

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2022Framework for collaborative intelligence in forecasting day-ahead electricity price. (2022). Yeregui, Imanol ; Naveran, Gorka ; Irizar, Ion ; Castro, Alain ; Beltran, Sergio. In: Applied Energy. RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921013398.

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2022Probabilistic electric load forecasting through Bayesian Mixture Density Networks. (2022). Vitali, Andrea ; Spinelli, Stefano ; Matteucci, Matteo ; Brusaferri, Alessandro. In: Applied Energy. RePEc:eee:appene:v:309:y:2022:i:c:s0306261921015907.

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2022Forecasting of high-resolution electricity consumption with stochastic climatic covariates via a functional time series approach. (2022). Huang, Shih-Feng ; Chen, Zih-Bing ; Chang, Chih-Hao. In: Applied Energy. RePEc:eee:appene:v:309:y:2022:i:c:s0306261921016500.

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2022Electricity price forecasting on the day-ahead market using machine learning. (2022). Robardet, Celine ; Plantevit, Marc ; Pierre, Erwan ; Tschora, Leonard. In: Applied Energy. RePEc:eee:appene:v:313:y:2022:i:c:s0306261922002057.

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2022Nonparametric probabilistic load forecasting based on quantile combination in electrical power systems. (2022). Fu, Hong ; Wang, Shuo ; Cao, Chaojin ; He, Yaoyao. In: Applied Energy. RePEc:eee:appene:v:322:y:2022:i:c:s0306261922008273.

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2022Dispatch optimization of a concentrating solar power system under uncertain solar irradiance and energy prices. (2022). Wagner, Michael J ; Morton, David P ; Kahveciolu, Goke. In: Applied Energy. RePEc:eee:appene:v:326:y:2022:i:c:s0306261922012351.

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2021Distributional regression for demand forecasting in e-grocery. (2021). Jahnke, Hermann ; Ulrich, Matthias ; Senge, Robin ; Pesch, Robert ; Langrock, Roland. In: European Journal of Operational Research. RePEc:eee:ejores:v:294:y:2021:i:3:p:831-842.

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2021Application of bagging in day-ahead electricity price forecasting and factor augmentation. (2021). Yildirim, Dilem ; Ozen, Kadir. In: Energy Economics. RePEc:eee:eneeco:v:103:y:2021:i:c:s0140988321004448.

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2022The dependence of quantile power prices on supply from renewables. (2022). Stet, Cristian ; Huisman, Ronald. In: Energy Economics. RePEc:eee:eneeco:v:105:y:2022:i:c:s0140988321005351.

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2022Forecasting day-ahead electricity prices: A comparison of time series and neural network models taking external regressors into account. (2022). Herwartz, Helmut ; Scheller, Fabian ; Lehna, Malte. In: Energy Economics. RePEc:eee:eneeco:v:106:y:2022:i:c:s0140988321005879.

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2022Optimal bidding in hourly and quarter-hourly electricity price auctions: Trading large volumes of power with market impact and transaction costs. (2022). Ziel, Florian ; Narajewski, Micha. In: Energy Economics. RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322001505.

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2022Dynamic short-term risk management strategies for the choice of electricity market based on probabilistic forecasts of profit and risk measures. The German and the Polish market case study. (2022). Wojcik, Edyta ; Janczura, Joanna. In: Energy Economics. RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322001840.

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2022Trading on short-term path forecasts of intraday electricity prices. (2022). Weron, Rafa ; Marcjasz, Grzegorz ; Serafin, Tomasz. In: Energy Economics. RePEc:eee:eneeco:v:112:y:2022:i:c:s014098832200281x.

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2022Probability distribution forecasting of carbon allowance prices: A hybrid model considering multiple influencing factors. (2022). Liu, Huiling ; Xue, Minggao ; Lei, Heng. In: Energy Economics. RePEc:eee:eneeco:v:113:y:2022:i:c:s0140988322003395.

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2023Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme. (2023). Huang, Xiaojia ; Wang, Jianzhou ; Nie, Ying ; Jiang, Ping. In: Energy Economics. RePEc:eee:eneeco:v:117:y:2023:i:c:s0140988322006004.

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2021Regularized quantile regression averaging for probabilistic electricity price forecasting. (2021). Weron, Rafał ; Uniejewski, Bartosz. In: Energy Economics. RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988321000268.

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2021Enhancing load, wind and solar generation for day-ahead forecasting of electricity prices. (2021). Weron, Tomasz ; Nitka, Weronika ; Maciejowska, Katarzyna. In: Energy Economics. RePEc:eee:eneeco:v:99:y:2021:i:c:s014098832100178x.

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2021Performing price scenario analysis and stress testing using quantile regression: A case study of the Californian electricity market. (2021). Verling, Trude Haugsvaer ; Bogaard, Katinka ; Botterud, Audun ; Negash, Ahlmahz ; Fleten, Stein-Erik ; Stein- Erik Fleten, ; Westgaard, Sjur. In: Energy. RePEc:eee:energy:v:214:y:2021:i:c:s0360544220319034.

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2021A meta-analytic approach for determining the success factors for energy conservation. (2021). Chakraborty, Basab ; Ahir, Rajesh K. In: Energy. RePEc:eee:energy:v:230:y:2021:i:c:s0360544221010690.

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2021Learning spatiotemporal dynamics in wholesale energy markets with dynamic mode decomposition. (2021). Dowling, Alexander W ; Elmore, Clay T. In: Energy. RePEc:eee:energy:v:232:y:2021:i:c:s0360544221012615.

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2021Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling. (2021). Becker, Denis Mike ; Li, Wei. In: Energy. RePEc:eee:energy:v:237:y:2021:i:c:s0360544221017916.

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2022Data-driven modeling for long-term electricity price forecasting. (2022). Sansavini, Giovanni ; Blume, Steffen ; Wuthrich, Moritz ; Gabrielli, Paolo. In: Energy. RePEc:eee:energy:v:244:y:2022:i:pb:s036054422200010x.

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2022Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model. (2022). Wennersten, Ronald ; Sun, Qie ; Li, Hailong ; Yan, Ruifeng ; Ma, Cuiping ; Bai, Feifei ; Liu, Luyao. In: Energy. RePEc:eee:energy:v:247:y:2022:i:c:s0360544222003206.

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2022Explaining household electricity consumption using quantile regression, decision tree and artificial neural network. (2022). Tamo, Thomas T ; Voufo, Joseph ; Ngohe, Paul Salomon ; Nzotcha, Urbain ; Kenfack, Joseph ; Nsangou, Jean Calvin. In: Energy. RePEc:eee:energy:v:250:y:2022:i:c:s0360544222007599.

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2021Probabilistic recalibration of forecasts. (2021). MacHete, Reason L ; Adams, Jennifer M ; Rosner, Robert ; Graziani, Carlo. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:1:p:1-27.

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2021Conformal prediction interval estimation and applications to day-ahead and intraday power markets. (2021). Ziel, Florian ; Kath, Christopher. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:777-799.

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2021Evaluating quantile-bounded and expectile-bounded interval forecasts. (2021). Taylor, James W. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:800-811.

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2022Classification-based model selection in retail demand forecasting. (2022). Pesch, Robert ; Langrock, Roland ; Jahnke, Hermann ; Ulrich, Matthias ; Senge, Robin. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:1:p:209-223.

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2022Artificial bee colony-based combination approach to forecasting agricultural commodity prices. (2022). Zhou, Hao ; Li, Xiang ; Wang, Zhen. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:1:p:21-34.

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2022Anticipating special events in Emergency Department forecasting. (2022). Ziel, Florian ; Rostami-Tabar, Bahman. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:3:p:1197-1213.

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2022Forecasting: theory and practice. (2022). Shang, Han Lin ; Rubaszek, Michał ; Martinez, Andrew ; Grossi, Luigi ; Franses, Philip Hans ; Fiszeder, Piotr ; Clements, Michael ; Castle, Jennifer ; Carnevale, Claudio ; Kolassa, Stephan ; Thorarinsdottir, Thordis ; Guo, Xiaojia ; Reade, James J ; Petropoulos, Fotios ; Nikolopoulos, Konstantinos ; Koehler, Anne B ; Thomakos, Dimitrios ; Browell, Jethro ; Rapach, David E ; Modis, Theodore ; Kang, Yanfei ; Tashman, Len ; Boylan, John E ; Gunter, Ulrich ; Ramos, Patricia ; Ellison, Joanne ; Meeran, Sheik ; Richmond, Victor ; Talagala, Thiyanga S ; Bijak, Jakub ; Guidolin, Massimo ; Pinson, Pierre ; Dokumentov, Alexander ; Jeon, Jooyoung ; Bessa, Ricardo J ; Pedregal, Diego J ; de Baets, Shari ; Ziel, Florian ; Syntetos, Aris A ; Bergmeir, Christoph
2022Modelling the evolution of wind and solar power infeed forecasts. (2022). Paraschiv, Florentina ; Li, Wei. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:25:y:2022:i:c:s2405851321000234.

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2021Proposing two novel hybrid intelligence models for forecasting copper price based on extreme learning machine and meta-heuristic algorithms. (2021). Vu, Diep-Anh ; Mai, Ngoc-Luan ; Pradhan, Biswajeet ; Bui, Xuan-Nam ; Nguyen, Hoang ; Zhang, Hong. In: Resources Policy. RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721002099.

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2021Demand response model based on improved Pareto optimum considering seasonal electricity prices for Dongfushan Island. (2021). Nakanishi, Yosuke ; Yu, Liangjun ; Ding, Min ; Wang, Dianhong ; Cao, Weihua ; Wu, Xiaomin. In: Renewable Energy. RePEc:eee:renene:v:164:y:2021:i:c:p:926-936.

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2022Short-term wind power forecasting based on meteorological feature extraction and optimization strategy. (2022). Li, Zhuo ; Dai, Binhua ; Zhao, Yongning ; Pei, Ming ; Ye, Lin ; Lu, Peng. In: Renewable Energy. RePEc:eee:renene:v:184:y:2022:i:c:p:642-661.

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2021Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems. (2021). Teng, Fei ; Heylen, Evelyn ; Strbac, Goran. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:147:y:2021:i:c:s1364032121004652.

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2021Artificial intelligence techniques for enabling Big Data services in distribution networks: A review. (2021). Villafafila-Robles, Roberto ; Bullich-Massague, Eduard ; Lloret-Gallego, Pau ; Munne-Collado, Ingrid ; Aragues-Pealba, Monica ; Barja-Martinez, Sara. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:150:y:2021:i:c:s1364032121007413.

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2022Sustainable microgrid design with multiple demand areas and peer-to-peer energy trading involving seasonal factors and uncertainties. (2022). , Jatinder ; Anh, Thi Huynh ; Yu, Vincent F. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:161:y:2022:i:c:s1364032122002556.

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2021Importance of the Long-Term Seasonal Component in Day-Ahead Electricity Price Forecasting Revisited: Parameter-Rich Models Estimated via the LASSO. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Jdrzejewski, Arkadiusz. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:11:p:3249-:d:567421.

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2021Electricity Markets during the Liberalization: The Case of a European Union Country. (2021). Kriaj, Alan ; Bojnec, Tefan. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:14:p:4317-:d:596330.

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2021Optimal Daily Trading of Battery Operations Using Arbitrage Spreads. (2021). Bunn, Derek ; Abramova, Ekaterina. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:16:p:4931-:d:612882.

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2021The Impact of COVID-19 on Electricity Demand Profiles: A Case Study of Selected Business Clients in Poland. (2021). Kinelski, Grzegorz ; Czarnecka, Marzena ; Malec, Marcin. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:17:p:5332-:d:623370.

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2021Effects of the COVID-19 Pandemic on the Spot Price of Colombian Electricity. (2021). Manotas-Duque, Diego Fernando ; Londoo-Hernandez, Sandra Milena ; Oviedo-Gomez, Andres. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:21:p:6989-:d:664220.

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2021A Multiscale Electricity Price Forecasting Model Based on Tensor Fusion and Deep Learning. (2021). Zhang, DU ; Li, Meiping ; Xie, Xiaoming. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:21:p:7333-:d:672212.

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2021Comprehensive Review on Electricity Market Price and Load Forecasting Based on Wind Energy. (2021). Garcia, Fausto Pedro ; Acarolu, Hakan. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:22:p:7473-:d:675237.

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2021Digitalization Business Strategies in Energy Sector: Solving Problems with Uncertainty under Industry 4.0 Conditions. (2021). Organa, Micha ; Sulich, Adam ; Trzaska, Rafa ; Jasiski, Bartosz ; Niemczyk, Jerzy. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:23:p:7997-:d:691750.

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2021The Impact of Forecasting Jumps on Forecasting Electricity Prices. (2021). Kostrzewska, Jadwiga ; Kostrzewski, Maciej. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:2:p:336-:d:477466.

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2021Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case. (2021). Ehrhardt, Matthias ; di Persio, Luca ; Viviani, Emma. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:2:p:364-:d:478401.

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2021A Multivariate High-Order Markov Model for the Income Estimation of a Wind Farm. (2021). Petroni, Filippo ; Masala, Giovanni Batista ; de Blasis, Riccardo. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:2:p:388-:d:478903.

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2021Improving Wind Power Forecasts: Combination through Multivariate Dimension Reduction Techniques. (2021). Poncela, Pilar ; Poncela-Blanco, Marta. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:5:p:1446-:d:512064.

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2021Uncertainty Matters: Bayesian Probabilistic Forecasting for Residential Smart Meter Prediction, Segmentation, and Behavioral Measurement and Verification. (2021). Jain, Rishee K ; Chadalawada, Jayashree ; Roth, Jonathan ; Miller, Clayton. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:5:p:1481-:d:513031.

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2021Energy Market Prices in Times of COVID-19: The Case of Electricity and Natural Gas in Spain. (2021). Abadie, Luis M. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:6:p:1632-:d:517157.

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2021Microgrid Systems: Towards a Technical Performance Assessment Frame. (2021). Reimann, Thorsten ; Monsalve, Cristian ; Marchand, Sophie ; Krauss, Christoph ; Ruhe, Stephan ; Lauer, Hagen ; Ungerland, Jakob ; Heckmann, Wolfram. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:8:p:2161-:d:535140.

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2022Predicting Electricity Imbalance Prices and Volumes: Capabilities and Opportunities. (2022). Gilbert, Ciaran ; Browell, Jethro. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:10:p:3645-:d:816810.

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2022Probabilistic Forecasting of German Electricity Imbalance Prices. (2022). Narajewski, Micha. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:14:p:4976-:d:857870.

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2022Reviewing Explanatory Methodologies of Electricity Markets: An Application to the Iberian Market. (2022). Soares, Isabel ; Fernandes, Renato. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:14:p:5020-:d:859098.

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2022Short-Term Load Forecasting Algorithm Based on LST-TCN in Power Distribution Network. (2022). Jia, Dongli ; Liu, Keyan ; Sheng, Wanxing ; Lin, Rongheng ; Chen, Shuo. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:15:p:5584-:d:877733.

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2022Models of Electricity Price Forecasting: Bibliometric Research. (2022). Sulich, Adam ; Zema, Tomasz. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:15:p:5642-:d:879688.

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2022A Review of Auto-Regressive Methods Applications to Short-Term Demand Forecasting in Power Systems. (2022). Sotysik, Maciej ; Kamiski, Jacek ; Czapaj, Rafa. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:18:p:6729-:d:915116.

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2022Wholesale Electricity Price Forecasting Using Integrated Long-Term Recurrent Convolutional Network Model. (2022). Li, Xingpeng ; Tuo, Mingjian ; Sridharan, Vasudharini. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:20:p:7606-:d:942778.

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2022Long-Term Electricity Demand Forecasting in the Steel Complex Micro-Grid Electricity Supply Chain—A Coupled Approach. (2022). Kazemi, Seyed Mohammad ; Moalem, Sepehr ; Ahari, Roya M ; Shahgholian, Ghazanfar ; Moazzami, Majid. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:21:p:7972-:d:954847.

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2022A Review of the Optimization and Control Techniques in the Presence of Uncertainties for the Energy Management of Microgrids. (2022). Spagnuolo, Giovanni ; Petrone, Giovanni ; Pavan, Alessandro Massi ; Cabrera-Tobar, Ana. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:23:p:9114-:d:990613.

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2022Forecast of Community Total Electric Load and HVAC Component Disaggregation through a New LSTM-Based Method. (2022). Patrick, Aron ; Alden, Rosemary E ; Gong, Huangjie ; Ionel, Dan M. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:9:p:2974-:d:796827.

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2023ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity Markets—Variance Stabilizing Transformation and Financial Risk-Minimizing Portfolio Allocation. (2023). Janczura, Joanna ; Pu, Andrzej. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:2:p:807-:d:1031193.

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2023Aggregating Prophet and Seasonal Trend Decomposition for Time Series Forecasting of Italian Electricity Spot Prices. (2023). Santos, Leandro Dos ; Mariani, Viviana Cocco ; Seman, Laio Oriel ; Stefenon, Stefano Frizzo. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:3:p:1371-:d:1049947.

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2023Load Forecasting Techniques and Their Applications in Smart Grids. (2023). Fouda, Mostafa M ; Metwally, Khaled ; Mahmoud, Mohamed ; Habbak, Hany ; Ibrahem, Mohamed I. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:3:p:1480-:d:1055616.

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2023A Hawkes Model Approach to Modeling Price Spikes in the Japanese Electricity Market. (2023). Ikeda, Kazushi ; Adline, Bikeri. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:4:p:1570-:d:1057836.

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2021Probabilistic Day-Ahead Wholesale Price Forecast: A Case Study in Great Britain. (2021). Verma, Jake ; Caudron, Julien ; Haben, Stephen. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:38-632:d:623967.

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2021Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests. (2021). Gunter, Ulrich. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:4:p:54-919:d:689837.

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2021Event-Based Evaluation of Electricity Price Ensemble Forecasts. (2021). Ziel, Florian ; Vogler, Arne. In: Forecasting. RePEc:gam:jforec:v:4:y:2021:i:1:p:4-71:d:713504.

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2022Machine Learning Models and Intra-Daily Market Information for the Prediction of Italian Electricity Prices. (2022). Pelagatti, Matteo ; Grossi, Luigi ; Golia, Silvia. In: Forecasting. RePEc:gam:jforec:v:5:y:2022:i:1:p:3-101:d:1020016.

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More than 100 citations found, this list is not complete...

Works by Jakub Nowotarski:

YearTitleTypeCited
2013Robust estimation and forecasting of the long-term seasonal component of electricity spot prices In: Energy Economics.
[Full Text][Citation analysis]		article50
2012Robust estimation and forecasting of the long-term seasonal component of electricity spot prices.(2012) In: MPRA Paper.
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2012Robust estimation and forecasting of the long-term seasonal component of electricity spot prices.(2012) In: HSC Research Reports.
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This paper has another version. Agregated cites: 50		paper
2014An empirical comparison of alternative schemes for combining electricity spot price forecasts In: Energy Economics.
[Full Text][Citation analysis]		article80
2013An empirical comparison of alternate schemes for combining electricity spot price forecasts.(2013) In: HSC Research Reports.
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This paper has another version. Agregated cites: 80		paper
2016On the importance of the long-term seasonal component in day-ahead electricity price forecasting In: Energy Economics.
[Full Text][Citation analysis]		article50
2016On the importance of the long-term seasonal component in day-ahead electricity price forecasting.(2016) In: HSC Research Reports.
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This paper has another version. Agregated cites: 50		paper
2016Improving short term load forecast accuracy via combining sister forecasts In: Energy.
[Full Text][Citation analysis]		article32
2015Improving short term load forecast accuracy via combining sister forecasts.(2015) In: HSC Research Reports.
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This paper has another version. Agregated cites: 32		paper
2016A hybrid model for GEFCom2014 probabilistic electricity price forecasting In: International Journal of Forecasting.
[Full Text][Citation analysis]		article43
2015A hybrid model for GEFCom2014 probabilistic electricity price forecasting.(2015) In: HSC Research Reports.
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This paper has another version. Agregated cites: 43		paper
2016Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging In: International Journal of Forecasting.
[Full Text][Citation analysis]		article71
2014Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging.(2014) In: HSC Research Reports.
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This paper has another version. Agregated cites: 71		paper
2018Recent advances in electricity price forecasting: A review of probabilistic forecasting In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article136
2016Recent advances in electricity price forecasting: A review of probabilistic forecasting.(2016) In: HSC Research Reports.
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This paper has another version. Agregated cites: 136		paper
2016Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting In: Energies.
[Full Text][Citation analysis]		article65
2016Automated variable selection and shrinkage for day-ahead electricity price forecasting.(2016) In: HSC Research Reports.
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This paper has another version. Agregated cites: 65		paper
2015Computing electricity spot price prediction intervals using quantile regression and forecast averaging In: Computational Statistics.
[Full Text][Citation analysis]		article44
2013Computing electricity spot price prediction intervals using quantile regression and forecast averaging.(2013) In: HSC Research Reports.
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This paper has another version. Agregated cites: 44		paper
2013Modeling and forecasting of the long-term seasonal component of the EEX and Nord Pool spot prices In: HSC Research Reports.
[Full Text][Citation analysis]		paper2
2013Short-term forecasting of electricity spot prices using model averaging (Krótkoterminowe prognozowanie spotowych cen energii elektrycznej z wykorzystaniem uśredniania modeli) In: HSC Research Reports.
[Full Text][Citation analysis]		paper0
2014Merging quantile regression with forecast averaging to obtain more accurate interval forecasts of Nord Pool spot prices In: HSC Research Reports.
[Full Text][Citation analysis]		paper4
2014Probabilistic load forecasting via Quantile Regression Averaging of independent expert forecasts In: HSC Research Reports.
[Full Text][Citation analysis]		paper3
2015Probabilistic load forecasting via Quantile Regression Averaging on sister forecasts In: HSC Research Reports.
[Full Text][Citation analysis]		paper18
2016To combine or not to combine? Recent trends in electricity price forecasting In: HSC Research Reports.
[Full Text][Citation analysis]		paper8

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