Jakub Nowotarski : Citation Profile

Politechnika Wrocławska

10

H index

10

i10 index

765

Citations

RESEARCH PRODUCTION:

9

Articles

16

Papers

RESEARCH ACTIVITY:

   6 years (2012 - 2018). See details.
   Cites by year: 127
   Journals where Jakub Nowotarski has often published
   Relations with other researchers
   Recent citing documents: 77.    Total self citations: 23 (2.92 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pno175
   Updated: 2025-12-27    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 (198)

Uniejewski, Bartosz (120)

Marcjasz, Grzegorz (116)

Serafin, Tomasz (31)

Maciejowska, Katarzyna (29)

Nitka, Weronika (17)

Gianfreda, Angelica (13)

Weron, Tomasz (11)

Grossi, Luigi (10)

Janczura, Joanna (9)

Wilfling, Bernd (8)

Cites to:

Weron, Rafał (158)

Misiorek, Adam (43)

Trueck, Stefan (31)

Hong, Tao (30)

Maciejowska, Katarzyna (23)

Janczura, Joanna (16)

Nan, Fany (14)

Lisi, Francesco (14)

Timmermann, Allan (10)

Wallis, Kenneth (9)

Hyndman, Rob (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 Science and Technology15

Recent works citing Jakub Nowotarski (2025 and 2024)

YearTitle of citing document
2024Smoothing Quantile Regression Averaging: A new approach to probabilistic forecasting of electricity prices. (2024). Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2302.00411.

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2024Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices. (2024). Berrisch, Jonathan ; Ziel, Florian. In: Papers. RePEc:arx:papers:2303.10019.

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2025Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Baruník, Jozef ; Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867.

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2024Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression. (2024). Weron, Rafał ; Uniejewski, Bartosz ; Lipiecki, Arkadiusz. In: Papers. RePEc:arx:papers:2404.02270.

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2024Regularization for electricity price forecasting. (2024). Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2404.03968.

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2024Revisiting Day-ahead Electricity Price: Simple Model Save Millions. (2024). Wang, Linian ; Liu, Jianghong ; Zhang, Huibing ; Yu, Anlan. In: Papers. RePEc:arx:papers:2405.14893.

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2024From day-ahead to mid and long-term horizons with econometric electricity price forecasting models. (2024). Ghelasi, Paul ; Ziel, Florian. In: Papers. RePEc:arx:papers:2406.00326.

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2024Adaptive combinations of tail-risk forecasts. (2024). Amendola, Alessandra ; Candila, Vincenzo ; Storti, Giuseppe ; Naimoli, Antonio. In: Papers. RePEc:arx:papers:2406.06235.

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2024Multiple split approach -- multidimensional probabilistic forecasting of electricity markets. (2024). Nitka, Weronika ; Maciejowska, Katarzyna. In: Papers. RePEc:arx:papers:2407.07795.

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2025Online Distributional Regression. (2024). Hirsch, Simon ; Berrisch, Jonathan ; Ziel, Florian. In: Papers. RePEc:arx:papers:2407.08750.

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2024Bridging an energy system model with an ensemble deep-learning approach for electricity price forecasting. (2024). Musgens, Felix ; Mobius, Thomas ; ben Amor, Souhir. In: Papers. RePEc:arx:papers:2411.04880.

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2024Ranking probabilistic forecasting models with different loss functions. (2024). Uniejewski, Bartosz ; Serafin, Tomasz. In: Papers. RePEc:arx:papers:2411.17743.

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2024Anomaly Detection in California Electricity Price Forecasting: Enhancing Accuracy and Reliability Using Principal Component Analysis. (2024). Akintunde, Ruth ; Nyangon, Joseph. In: Papers. RePEc:arx:papers:2412.07787.

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2025Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market. (2025). Chke, Katarzyna ; Uniejewski, Bartosz ; Weron, Rafal. In: Papers. RePEc:arx:papers:2503.02518.

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2025Functional Factor Regression with an Application to Electricity Price Curve Modeling. (2025). Winter, Luis ; Otto, Sven. In: Papers. RePEc:arx:papers:2503.12611.

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2025Electricity Market Predictability: Virtues of Machine Learning and Links to the Macroeconomy. (2025). Cai, Jinbo ; Wang, Wenjie ; Li, Wenze. In: Papers. RePEc:arx:papers:2507.07477.

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2025Isotonic Quantile Regression Averaging for uncertainty quantification of electricity price forecasts. (2025). Lipiecki, Arkadiusz ; Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2507.15079.

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2025Driver Identification and PCA Augmented Selection Shrinkage Framework for Nordic System Price Forecasting. (2025). Sadabad, Yousef Adeli ; Hesamzadeh, Mohammad Reza ; Bagherpour, Matin ; Dan, Gyorgy ; Biggar, Darryl R. In: Papers. RePEc:arx:papers:2509.18887.

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2025The Evolution of Probabilistic Price Forecasting Techniques: A Review of the Day-Ahead, Intra-Day, and Balancing Markets. (2025). O'Connor, Ciaran ; Bahloul, Mohamed ; Visentin, Andrea ; Prestwich, Steven. In: Papers. RePEc:arx:papers:2511.05523.

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2025Statistical and economic evaluation of forecasts in electricity markets: beyond RMSE and MAE. (2025). Lipiecki, Arkadiusz ; Maciejowska, Katarzyna ; Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2511.13616.

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2025Forecasting the Impact of Extreme Weather Events on Electricity Prices in Italy: A GARCH-MIDAS Approach with Enhanced Variable Selection. (2025). Riso, Luigi ; Zoia, Maria Grazia ; Guerzoni, Marco. In: DISCE - Working Papers del Dipartimento di Politica Economica. RePEc:ctc:serie5:dipe0043.

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2024Forecasting individual bids in real electricity markets through machine learning framework. (2024). Chen, Qixin ; Tang, Qinghu ; Zheng, Kedi ; Guo, Hongye. In: Applied Energy. RePEc:eee:appene:v:363:y:2024:i:c:s0306261924004367.

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2024Building plug load mode detection, forecasting and scheduling. (2024). Botman, Lola ; Chia, Keaton ; Lago, Jesus ; Wolf, Jesse ; Kleissl, Jan ; de Moor, Bart ; Fu, Xiaohan. In: Applied Energy. RePEc:eee:appene:v:364:y:2024:i:c:s0306261924004811.

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2024Multivariate scenario generation of day-ahead electricity prices using normalizing flows. (2024). Dahmen, Manuel ; Gorjo, Leonardo Rydin ; Trebbien, Julius ; Hilger, Hannes ; Cramer, Eike ; Witthaut, Dirk. In: Applied Energy. RePEc:eee:appene:v:367:y:2024:i:c:s030626192400624x.

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2024Microgrid design and multi-year dispatch optimization under climate-informed load and renewable resource uncertainty. (2024). Bazilian, Morgan ; MacMillan, Madeline ; Villa, Daniel L ; Zolan, Alexander. In: Applied Energy. RePEc:eee:appene:v:368:y:2024:i:c:s0306261924007384.

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2025A novel hybrid model based on evolving multi-quantile long and short-term memory neural network for ultra-short-term probabilistic forecasting of photovoltaic power. (2025). Zhu, Jianhua ; He, Yaoyao. In: Applied Energy. RePEc:eee:appene:v:377:y:2025:i:pc:s0306261924019846.

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2025Bayesian hierarchical probabilistic forecasting of intraday electricity prices. (2025). Mller, Gernot ; Nickelsen, Daniel. In: Applied Energy. RePEc:eee:appene:v:380:y:2025:i:c:s0306261924023596.

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2025Deep generative models in energy system applications: Review, challenges, and future directions. (2025). King, Ryan N ; Emami, Patrick ; Zhang, Xiangyu ; Cortiella, Alexandre ; Glaws, Andrew. In: Applied Energy. RePEc:eee:appene:v:380:y:2025:i:c:s0306261924024437.

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2025A global probabilistic approach for short-term forecasting of individual households electricity consumption. (2025). Vanthournout, Koen ; de Moor, Bart ; Becker, Thijs ; Lago, Jesus ; Botman, Lola. In: Applied Energy. RePEc:eee:appene:v:382:y:2025:i:c:s0306261924025522.

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2025Enhancing electricity price forecasting accuracy: A novel filtering strategy for improved out-of-sample predictions. (2025). Cerasa, Andrea ; Zani, Alessandro. In: Applied Energy. RePEc:eee:appene:v:383:y:2025:i:c:s030626192500087x.

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2025Improving economic operation of a microgrid through expert behaviors and prediction intervals. (2025). Qu, Kai ; Si, Gangquan ; Wang, Qianyue ; Xu, Minglin ; Shan, Zihan. In: Applied Energy. RePEc:eee:appene:v:383:y:2025:i:c:s0306261925001217.

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2025Univariate and multivariate forecasting of the electricity futures curve using Dynamic Recurrent Neural Networks. (2025). Castello, Oleksandr ; Resta, Marina. In: Applied Energy. RePEc:eee:appene:v:394:y:2025:i:c:s0306261925008128.

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2025A review of predictive uncertainty modeling techniques and evaluation metrics in probabilistic wind speed and wind power forecasting. (2025). Hu, Qinghua ; Zou, Runmin ; Kou, Hongbo ; Zhang, Fan ; Wang, Yun ; Srinivasan, Dipti. In: Applied Energy. RePEc:eee:appene:v:396:y:2025:i:c:s030626192500964x.

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2024Toward high-resolution projection of electricity prices: A machine learning approach to quantifying the effects of high fuel and CO2 prices. (2024). Ikonnikova, Svetlana ; Madadkhani, Shiva. In: Energy Economics. RePEc:eee:eneeco:v:129:y:2024:i:c:s0140988323007399.

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2024Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression. (2024). Weron, Rafał ; Uniejewski, Bartosz ; Lipiecki, Arkadiusz. In: Energy Economics. RePEc:eee:eneeco:v:139:y:2024:i:c:s014098832400642x.

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2025Multivariate probabilistic forecasting of electricity prices with trading applications. (2025). Petukhina, Alla ; Kozmik, Karel ; Kopa, Milos ; Hrdle, Wolfgang Karl ; Agakishiev, Ilyas. In: Energy Economics. RePEc:eee:eneeco:v:141:y:2025:i:c:s0140988324007163.

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2025Financial risk management innovation in energy market: Evidence from a machine learning hybrid model. (2025). Lu, Xinjie ; Ma, Feng ; Li, Zepei. In: Energy Economics. RePEc:eee:eneeco:v:144:y:2025:i:c:s0140988325001847.

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2025Loss functions in regression models: Impact on profits and risk in day-ahead electricity trading. (2025). Weron, Rafał ; Serafin, Tomasz. In: Energy Economics. RePEc:eee:eneeco:v:148:y:2025:i:c:s0140988325004207.

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2024A hybrid short-term wind power point-interval prediction model based on combination of improved preprocessing methods and entropy weighted GRU quantile regression network. (2024). Qiao, Xianzhu ; Liu, Tianhong. In: Energy. RePEc:eee:energy:v:288:y:2024:i:c:s036054422303298x.

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2024Wholesale electricity price forecasting by Quantile Regression and Kalman Filter method. (2024). Monjazeb, Mohammadreza ; Amiri, Hossein ; Movahedi, Akram. In: Energy. RePEc:eee:energy:v:290:y:2024:i:c:s0360544223033194.

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2024Towards energy transition: A novel day-ahead operation scheduling strategy for demand response and hybrid energy storage systems in smart grid. (2024). el Moursi, Mohamed Shawky ; Elsir, Mohamed ; Al-Sumaiti, Ameena Saad. In: Energy. RePEc:eee:energy:v:293:y:2024:i:c:s0360544224003955.

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2024A novel time-series probabilistic forecasting method for multi-energy loads. (2024). Zhang, Zhisheng ; Ding, Yuhao ; Sun, Yuanyuan ; Xie, Xiangmin ; Fan, Jianhua. In: Energy. RePEc:eee:energy:v:306:y:2024:i:c:s0360544224022308.

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2024Bayesian forecasting in economics and finance: A modern review. (2024). Maheu, John ; Huber, Florian ; Koop, Gary ; Martin, Gael M ; Nibbering, Didier ; Frazier, David T ; Panagiotelis, Anastasios ; Maneesoonthorn, Worapree ; Loaiza-Maya, Ruben. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:811-839.

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2024Forecasting day-ahead electricity prices with spatial dependence. (2024). Li, YI ; Yang, Yifan ; Guo, Jue ; Zhou, Jiandong. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:3:p:1255-1270.

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2024A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market. (2024). Dinh, Nam Trong ; Cornell, Cameron ; Pourmousavi, Ali S. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1421-1437.

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2024Multivariate probabilistic CRPS learning with an application to day-ahead electricity prices. (2024). Berrisch, Jonathan ; Ziel, Florian. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1568-1586.

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2025Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market. (2025). Weron, Rafa ; Uniejewski, Bartosz ; Che, Katarzyna. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:37:y:2025:i:c:s2405851324000680.

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2024Merit-order of dispatchable and variable renewable energy sources in Turkeys day-ahead electricity market. (2024). Yucel, Oyku ; Gokgoz, Fazil. In: Utilities Policy. RePEc:eee:juipol:v:88:y:2024:i:c:s0957178724000511.

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2024A hybrid forecasting framework based on MCS and machine learning for higher dimensional and unbalanced systems. (2024). Xie, Zu-Guang ; Wang, Li-Ya ; Li, Jiang-Cheng ; Yang, Guo-Hui ; Zhong, Guang-Yan. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:637:y:2024:i:c:s0378437124001201.

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2024A multi-period-sequential-index combination method for short-term prediction of small sample data. (2024). Zeng, Yuhai ; Jiang, Hongyan ; Cheng, Feng ; Fang, Dianjun ; Wu, Cong. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006816.

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2025From day-ahead to mid and long-term horizons with econometric electricity price forecasting models. (2025). Ghelasi, Paul ; Ziel, Florian. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:217:y:2025:i:c:s1364032125003570.

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2024Forecasting electricity prices from the state-of-the-art modeling technology and the price determinant perspectives. (2024). lucey, brian ; Chai, Shanglei ; Li, Qiang ; Abedin, Mohammad Zoynul. In: Research in International Business and Finance. RePEc:eee:riibaf:v:67:y:2024:i:pa:s0275531923002581.

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2025Probabilistic electricity price forecasting by integrating interpretable model. (2025). Jiang, HE ; Wang, Jianzhou ; Dong, Yao. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:210:y:2025:i:c:s0040162524006449.

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2024Using Generative Pre-Trained Transformers (GPT) for Electricity Price Trend Forecasting in the Spanish Market. (2024). Heredia, Jose Antonio ; Medina, Alberto Menendez. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:10:p:2338-:d:1393354.

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2024Joint Component Estimation for Electricity Price Forecasting Using Functional Models. (2024). Shah, Ismail ; Lisi, Francesco. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:14:p:3461-:d:1434818.

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2024Dealing with Anomalies in Day-Ahead Market Prediction Using Machine Learning Hybrid Model. (2024). Kania, Krzysztof ; Pilot, Karol ; Ganczarek-Gamrot, Alicja. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:17:p:4436-:d:1471177.

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2024Using Time-Series Databases for Energy Data Infrastructures. (2024). Hadjichristofi, Christos ; Diochnos, Spyridon ; Andresakis, Kyriakos ; Vescoukis, Vassilios. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:21:p:5478-:d:1512214.

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2024A Multi-Step Ensemble Approach for Energy Community Day-Ahead Net Load Point and Probabilistic Forecasting. (2024). da Graa, Maria ; Ruano, Antonio. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:3:p:696-:d:1330901.

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2025A Comparative Analysis of Price Forecasting Methods for Maximizing Battery Storage Profits. (2025). Maccioni, Alessandro Fiori ; Sbaraglia, Simone ; Zedda, Stefano ; Mahmoudvand, Rahim. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:13:p:3309-:d:1686371.

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2025Forecasting Electricity Prices Three Days in Advance: Comparison Between Multilayer Perceptron and Support Vector Machine Networks. (2025). Borkowski, Dariusz ; Jakiewicz, Micha. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:17:p:4744-:d:1743246.

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2024Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study. (2024). Quashie, Mike ; Lopez, Manuel Zamudio ; Zareipour, Hamidreza. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:1:p:7-137:d:1331777.

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2024A Study on the Nature of Complexity in the Spanish Electricity Market Using a Comprehensive Methodological Framework. (2024). Gonzalez, Sandra ; Inglada-Perez, Lucia. In: Mathematics. RePEc:gam:jmathe:v:12:y:2024:i:6:p:893-:d:1358995.

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2025Predictive Analysis of Carbon Emissions in China’s Construction Industry Based on GIOWA Model. (2025). Zhang, Baiyang ; Bao, Zhiheng ; Hu, Tianyue ; Gao, Xinnan. In: Mathematics. RePEc:gam:jmathe:v:13:y:2025:i:12:p:1955-:d:1678210.

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2025Hierarchical Vector Mixtures for Electricity Day-Ahead Market Prices Scenario Generation. (2025). Mari, Carlo ; Lucheroni, Carlo. In: Mathematics. RePEc:gam:jmathe:v:13:y:2025:i:17:p:2852-:d:1741787.

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2025Comparative Analysis of Carbon Tax and Carbon Market Strategies for Facilitating Carbon Neutrality in China’s Coal-Fired Electricity Sector. (2025). Li, Yin ; Wang, XU ; Qin, QI. In: Sustainability. RePEc:gam:jsusta:v:17:y:2025:i:5:p:1961-:d:1599195.

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2024Efficient frontiers for short-term sales of spot and forward wind energy in Texas. (2024). Zarnikau, Jay ; Cao, K H ; Qi, H ; Woo, C K ; Li, R. In: Post-Print. RePEc:hal:journl:hal-04761181.

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2024Market Design Options for a Hydrogen Market. (2024). Jahnke, Philipp ; Niedrig, Nicolas ; Giehl, Johannes ; Muller-Kirchenbauer, Joachim. In: Working Papers. RePEc:hhs:cbsnow:2024_004.

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2024Forecasting price spikes in day-ahead electricity markets: techniques, challenges, and the road ahead. (2024). Sheybanivaziri, Samaneh ; le Dreau, Jerome ; Kazmi, Hussain. In: Discussion Papers. RePEc:hhs:nhhfms:2024_001.

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2025Interval, Quantile and Density Forecasts. (2025). Yanchev, Mihail. In: Economic Alternatives. RePEc:nwe:eajour:y:2025:i:1:p:109-129.

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2024A Transcendental LASSO Function for Combining Machine Learning and Statistical Model Forecasts. (2024). Terregrossa, Salvatore Joseph ; Ener, Uaur. In: SAGE Open. RePEc:sae:sagope:v:14:y:2024:i:3:p:21582440241262695.

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2025Expectile regression averaging method for probabilistic forecasting of electricity prices. (2025). Janczura, Joanna. In: Computational Statistics. RePEc:spr:compst:v:40:y:2025:i:2:d:10.1007_s00180-024-01508-y.

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2024Density Forecasting for Electricity Prices under Tail Heterogeneity with the t-Riesz Distribution. (2024). Rossini, Luca ; Lucas, Andre ; Peerlings, Dewi ; Opschoor, Anne. In: Tinbergen Institute Discussion Papers. RePEc:tin:wpaper:20240049.

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2024Electricity price forecasting using quantile regression averaging with nonconvex regularization. (2024). Dong, Yao ; Wang, Jianzhou ; Jiang, HE. In: Journal of Forecasting. RePEc:wly:jforec:v:43:y:2024:i:6:p:1859-1879.

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2025A new probability forecasting model for cotton yarn futures price volatility with explainable AI and big data. (2025). Abedin, Mohammad Zoynul ; Zhang, Justin Zuopeng ; Hou, Xiaoyu ; Xia, Huosong. In: Journal of Forecasting. RePEc:wly:jforec:v:44:y:2025:i:1:p:112-135.

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2025Formalizing a Postprocessing Procedure for Linear–Convex Combination Forecasts. (2025). Wilfling, Bernd ; Monschang, Verena. In: Journal of Forecasting. RePEc:wly:jforec:v:44:y:2025:i:4:p:1280-1293.

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2025Tail Risks Everywhere and Crude Oil Returns: New Insights From Predictive Quantile Approaches. (2025). Zhang, Yuejun ; Zhao, Wen. In: Journal of Futures Markets. RePEc:wly:jfutmk:v:45:y:2025:i:7:p:685-704.

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2024Regularization for electricity price forecasting. (2024). Uniejewski, Bartosz. In: Operations Research and Decisions. RePEc:wut:journl:v:34:y:2024:i:3:p:267-286:id:14.

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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]		article52
2012Robust estimation and forecasting of the long-term seasonal component of electricity spot prices.(2012) In: MPRA Paper.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 52		paper
2012Robust estimation and forecasting of the long-term seasonal component of electricity spot prices.(2012) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 52		paper
2014An empirical comparison of alternative schemes for combining electricity spot price forecasts In: Energy Economics.
[Full Text][Citation analysis]		article98
2013An empirical comparison of alternate schemes for combining electricity spot price forecasts.(2013) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 98		paper
2016On the importance of the long-term seasonal component in day-ahead electricity price forecasting In: Energy Economics.
[Full Text][Citation analysis]		article60
2016On the importance of the long-term seasonal component in day-ahead electricity price forecasting.(2016) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 60		paper
2016Improving short term load forecast accuracy via combining sister forecasts In: Energy.
[Full Text][Citation analysis]		article37
2015Improving short term load forecast accuracy via combining sister forecasts.(2015) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 37		paper
2016A hybrid model for GEFCom2014 probabilistic electricity price forecasting In: International Journal of Forecasting.
[Full Text][Citation analysis]		article59
2015A hybrid model for GEFCom2014 probabilistic electricity price forecasting.(2015) In: HSC Research Reports.
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2016Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging In: International Journal of Forecasting.
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2014Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging.(2014) In: HSC Research Reports.
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2018Recent advances in electricity price forecasting: A review of probabilistic forecasting In: Renewable and Sustainable Energy Reviews.
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2016Recent advances in electricity price forecasting: A review of probabilistic forecasting.(2016) In: HSC Research Reports.
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2016Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting In: Energies.
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2016Automated variable selection and shrinkage for day-ahead electricity price forecasting.(2016) In: HSC Research Reports.
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2015Computing electricity spot price prediction intervals using quantile regression and forecast averaging In: Computational Statistics.
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2013Computing electricity spot price prediction intervals using quantile regression and forecast averaging.(2013) In: HSC Research Reports.
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2013Modeling and forecasting of the long-term seasonal component of the EEX and Nord Pool spot prices In: HSC Research Reports.
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2013Short-term forecasting of electricity spot prices using model averaging (Krótkoterminowe prognozowanie spotowych cen energii elektrycznej z wykorzystaniem uśredniania modeli) In: HSC Research Reports.
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2014Merging quantile regression with forecast averaging to obtain more accurate interval forecasts of Nord Pool spot prices In: HSC Research Reports.
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2014Probabilistic load forecasting via Quantile Regression Averaging of independent expert forecasts In: HSC Research Reports.
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2015Probabilistic load forecasting via Quantile Regression Averaging on sister forecasts In: HSC Research Reports.
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2016To combine or not to combine? Recent trends in electricity price forecasting In: HSC Research Reports.
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