Jakub Nowotarski : Citation Profile


Are you Jakub Nowotarski?

Politechnika Wrocławska

10

H index

10

i10 index

368

Citations

RESEARCH PRODUCTION:

9

Articles

16

Papers

RESEARCH ACTIVITY:

   6 years (2012 - 2018). See details.
   Cites by year: 61
   Journals where Jakub Nowotarski has often published
   Relations with other researchers
   Recent citing documents: 146.    Total self citations: 23 (5.88 %)

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   Permalink: http://citec.repec.org/pno175
   Updated: 2020-08-01    RAS profile: 2019-01-12    
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Relations with other researchers


Works with:

Weron, Rafał (20)

Maciejowska, Katarzyna (5)

Hong, Tao (4)

Trueck, Stefan (2)

Uniejewski, Bartosz (2)

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 (136)

Uniejewski, Bartosz (74)

Marcjasz, Grzegorz (68)

Serafin, Tomasz (21)

Maciejowska, Katarzyna (10)

Nan, Fany (8)

Grossi, Luigi (8)

Weron, Tomasz (6)

Trueck, Stefan (6)

GUPTA, RANGAN (6)

Wilfling, Bernd (6)

Cites to:

Weron, Rafał (143)

Misiorek, Adam (36)

Hong, Tao (31)

Trueck, Stefan (30)

Maciejowska, Katarzyna (22)

Lisi, Francesco (14)

Janczura, Joanna (14)

Nan, Fany (14)

Hyndman, Rob (9)

Christoffersen, Peter (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 (2018 and 2017)


YearTitle of citing document
2017Spikes and memory in (Nord Pool) electricity price spot prices. (2017). Proietti, Tommaso ; Haldrup, Niels ; Knapik, Oskar. In: CREATES Research Papers. RePEc:aah:create:2017-39.

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2020Beating the naive: Combining LASSO with naive intraday electricity price forecasts. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2001.

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2020PCA forecast averaging - predicting day-ahead and intraday electricity prices. (2020). Uniejewski, Bartosz ; Serafin, Tomasz ; Maciejowska, Katarzyna. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2002.

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2018Probabilistic Mid- and Long-Term Electricity Price Forecasting. (2018). Steinert, Rick ; Ziel, Florian. In: Papers. RePEc:arx:papers:1703.10806.

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2019Comparing the Forecasting Performances of Linear Models for Electricity Prices with High RES Penetration. (2018). Rossini, Luca ; Ravazzolo, Francesco ; Gianfreda, Angelica. In: Papers. RePEc:arx:papers:1801.01093.

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2018Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks. (2018). Weron, Rafał ; Ziel, Florian. In: Papers. RePEc:arx:papers:1805.06649.

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2019Probabilistic forecasting and simulation of electricity prices. (2018). Ziel, Florian ; Muniain, Peru. In: Papers. RePEc:arx:papers:1810.08418.

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2018The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts. (2018). Ziel, Florian ; Kath, Christopher. In: Papers. RePEc:arx:papers:1811.08604.

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2018Using published bid/ask curves to error dress spot electricity price forecasts. (2018). Oigaard, Tor Arne ; Loland, Anders ; Huseby, Ragnar Bang ; Lenkoski, Alex ; Steinbakk, Gunnhildur H. In: Papers. RePEc:arx:papers:1812.02433.

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2019Estimating Dynamic Conditional Spread Densities to Optimise Daily Storage Trading of Electricity. (2019). Bunn, Derek ; Abramova, Ekaterina. In: Papers. RePEc:arx:papers:1903.06668.

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2020Forecasting the Intra-Day Spread Densities of Electricity Prices. (2020). Bunn, Derek ; Abramova, Ekaterina. In: Papers. RePEc:arx:papers:2002.10566.

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2020Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories. (2020). Ziel, Florian ; Narajewski, Michal. In: Papers. RePEc:arx:papers:2005.01365.

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2020Probabilistic multivariate electricity price forecasting using implicit generative ensemble post-processing. (2020). Steinke, Florian ; Janke, Tim. In: Papers. RePEc:arx:papers:2005.13417.

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2018Comparing the Forecasting Performances of Linear Models for Electricity Prices with High RES Penetration. (2018). Rossini, Luca ; Ravazzolo, Francesco ; Gianfreda, Angelica. In: Working Papers. RePEc:bny:wpaper:0060.

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2017Are multifractal processes suited to forecasting electricity price volatility? Evidence from Australian intraday data. (2017). Wilfling, Bernd ; Lau, Chi Keung ; GUPTA, RANGAN ; Segnon, Mawuli. In: CQE Working Papers. RePEc:cqe:wpaper:6117.

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2017Electricity prices forecasting by averaging dynamic factor models. (2017). Garcia-Martos, Carolina ; Bastos, Guadalupe ; Alonso, Andres Modesto . In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:24028.

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2017Forecasting the distributions of hourly electricity spot prices. (2017). Weber, Christoph ; Woll, Oliver ; Vogler, Arne ; Pape, Christian. In: EWL Working Papers. RePEc:dui:wpaper:1705.

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2018Quantile Regression Model for Peak Load Demand Forecasting with Approximation by Triangular Distribution to Avoid Blackouts. (2018). Fukushige, Mototsugu ; Elamin, Niematallah. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2018-05-16.

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2020Passive Balancing Through Intraday Trading: Whether Interactions Between Short-term Trading and Balancing Stabilize Germany’s Electricity System. (2020). Koch, Christopher ; Maskos, Philipp. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2020-02-14.

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2019The combination of interval forecasts in tourism. (2019). Liu, Anyu ; Zhou, Menglin ; Wu, Doris Chenguang. In: Annals of Tourism Research. RePEc:eee:anture:v:75:y:2019:i:c:p:363-378.

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2017Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory. (2017). Liu, Rui ; Lu, Xiaofen ; He, Yaoyao ; Wang, Shuo. In: Applied Energy. RePEc:eee:appene:v:185:y:2017:i:p1:p:254-266.

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2017The value of electricity and reserve services in low carbon electricity systems. (2017). Staffell, Iain ; Vijay, Avinash ; Hawkes, Adam ; Fouquet, Nicolas . In: Applied Energy. RePEc:eee:appene:v:201:y:2017:i:c:p:111-123.

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2017Online short-term forecast of greenhouse heat load using a weather forecast service. (2017). Madsen, H ; Bacher, P ; Vogler–Finck, P. J. C., . In: Applied Energy. RePEc:eee:appene:v:205:y:2017:i:c:p:1298-1310.

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2018Forecasting day-ahead electricity prices in Europe: The importance of considering market integration. (2018). Lago, Jesus ; de Schutter, Bart ; Vrancx, Peter ; de Ridder, Fjo. In: Applied Energy. RePEc:eee:appene:v:211:y:2018:i:c:p:890-903.

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2018Power load probability density forecasting using Gaussian process quantile regression. (2018). Yang, Yandong ; Qu, Meijun ; Li, Wenqi. In: Applied Energy. RePEc:eee:appene:v:213:y:2018:i:c:p:499-509.

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2018Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms. (2018). Lago, Jesus ; de Schutter, Bart ; de Ridder, Fjo. In: Applied Energy. RePEc:eee:appene:v:221:y:2018:i:c:p:386-405.

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2018A machine learning based stochastic optimization framework for a wind and storage power plant participating in energy pool market. (2018). Crespo-Vazquez, Jose L ; Noor, MD ; Martinez-Lorenzo, Jose A ; Diaz-Dorado, E ; Carrillo, C. In: Applied Energy. RePEc:eee:appene:v:232:y:2018:i:c:p:341-357.

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2019On the impact of outlier filtering on the electricity price forecasting accuracy. (2019). Afanasyev, Dmitriy ; Fedorova, Elena A. In: Applied Energy. RePEc:eee:appene:v:236:y:2019:i:c:p:196-210.

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2019Levelized income loss as a metric of the adaptation of wind and energy storage to variable prices. (2019). Gomez-Aleixandre, Javier ; Coto, Jose ; Diaz, Guzman. In: Applied Energy. RePEc:eee:appene:v:238:y:2019:i:c:p:1179-1191.

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2019Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression. (2019). Gomez-Aleixandre, Javier ; Coto, Jose ; Diaz, Guzman. In: Applied Energy. RePEc:eee:appene:v:239:y:2019:i:c:p:610-625.

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2019Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices. (2019). Portolani, Pietro ; Matteucci, Matteo ; Brusaferri, Alessandro ; Vitali, Andrea. In: Applied Energy. RePEc:eee:appene:v:250:y:2019:i:c:p:1158-1175.

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2019Ensemble of relevance vector machines and boosted trees for electricity price forecasting. (2019). Tripathi, Madan Mohan ; Muchahary, Frankle ; Agrawal, Rahul Kumar. In: Applied Energy. RePEc:eee:appene:v:250:y:2019:i:c:p:540-548.

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2020Energy-intense production-inventory planning with participation in sequential energy markets. (2020). Bohlayer, Markus ; Zottl, Gregor ; Braun, Marco ; Fleschutz, Markus. In: Applied Energy. RePEc:eee:appene:v:258:y:2020:i:c:s0306261919316411.

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2020An adaptive hybrid model for short term electricity price forecasting. (2020). Wei, Yi-Ming ; Tan, Zhongfu ; Zhang, Jinliang. In: Applied Energy. RePEc:eee:appene:v:258:y:2020:i:c:s030626191931774x.

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2020Probabilistic solar power forecasting based on weather scenario generation. (2020). Zhang, Jie ; Feng, Cong ; Sun, Mucun. In: Applied Energy. RePEc:eee:appene:v:266:y:2020:i:c:s0306261920303354.

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2020Designing a short-term load forecasting model in the urban smart grid system. (2020). Li, Chen. In: Applied Energy. RePEc:eee:appene:v:266:y:2020:i:c:s0306261920303627.

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2020The economic and financial properties of crude oil: A review. (2020). Auer, Benjamin R ; Lang, Korbinian. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:52:y:2020:i:c:s1062940818302559.

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2017Electricity forward curves with thin granularity: Theory and empirical evidence in the hourly EPEXspot market. (2017). Caldana, Ruggero ; Roncoroni, Andrea ; Fusai, Gianluca. In: European Journal of Operational Research. RePEc:eee:ejores:v:261:y:2017:i:2:p:715-734.

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2018Short-run electricity load forecasting with combinations of stationary wavelet transforms. (2018). Bessec, Marie ; Fouquau, Julien. In: European Journal of Operational Research. RePEc:eee:ejores:v:264:y:2018:i:1:p:149-164.

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2019Structural combination of seasonal exponential smoothing forecasts applied to load forecasting. (2019). de Menezes, Lilian M ; Rendon-Sanchez, Juan F. In: European Journal of Operational Research. RePEc:eee:ejores:v:275:y:2019:i:3:p:916-924.

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2017Composite forecasting approach, application for next-day electricity price forecasting. (2017). Mirakyan, Atom ; Koch, Andreas ; Meyer-Renschhausen, Martin . In: Energy Economics. RePEc:eee:eneeco:v:66:y:2017:i:c:p:228-237.

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2017Hedging local volume risk using forward markets: Nordic case. (2017). Ernstsen, Rune Ramsdal ; Skajaa, Anders ; Tegner, Martin ; Boomsma, Trine Krogh. In: Energy Economics. RePEc:eee:eneeco:v:68:y:2017:i:c:p:490-514.

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2018Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks. (2018). Weron, Rafał ; Ziel, Florian. In: Energy Economics. RePEc:eee:eneeco:v:70:y:2018:i:c:p:396-420.

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2018The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts. (2018). Kath, Christopher ; Ziel, Florian. In: Energy Economics. RePEc:eee:eneeco:v:76:y:2018:i:c:p:411-423.

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2019Forecasting the joint distribution of Australian electricity prices using dynamic vine copulae. (2019). Pourkhanali, Armin ; Alavifard, Farzad ; Manner, Hans ; Tafakori, Laleh. In: Energy Economics. RePEc:eee:eneeco:v:78:y:2019:i:c:p:143-164.

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2019On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting. (2019). Weron, Rafał ; Marcjasz, Grzegorz ; Uniejewski, Bartosz. In: Energy Economics. RePEc:eee:eneeco:v:79:y:2019:i:c:p:171-182.

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2019Carbon pricing and electricity markets — The case of the Australian Clean Energy Bill. (2019). Weron, Rafał ; Truck, Stefan ; Maryniak, Pawe. In: Energy Economics. RePEc:eee:eneeco:v:79:y:2019:i:c:p:45-58.

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2019Probabilistic electricity price forecasting with Bayesian stochastic volatility models. (2019). Kostrzewska, Jadwiga ; Kostrzewski, Maciej . In: Energy Economics. RePEc:eee:eneeco:v:80:y:2019:i:c:p:610-620.

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2020Assessing the impact of renewable energy sources on the electricity price level and variability – A quantile regression approach. (2020). Maciejowska, Katarzyna. In: Energy Economics. RePEc:eee:eneeco:v:85:y:2020:i:c:s0140988319303275.

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2020Modeling and forecasting the electricity clearing price: A novel BELM based pattern classification framework and a comparative analytic study on multi-layer BELM and LSTM. (2020). Zheng, Qingru ; Shao, Zhen ; Liu, Chen ; Zhang, Qiang ; Cheng, Manli ; Gao, Fei ; Yang, Shanlin. In: Energy Economics. RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988319304451.

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2018Estimating temperature effects on the Italian electricity market. (2018). Bigerna, Simona. In: Energy Policy. RePEc:eee:enepol:v:118:y:2018:i:c:p:257-269.

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2018Managing electricity price modeling risk via ensemble forecasting: The case of Turkey. (2018). Avci, Ezgi ; van Heck, Eric ; Ketter, Wolfgang. In: Energy Policy. RePEc:eee:enepol:v:123:y:2018:i:c:p:390-403.

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2019The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices. (2019). Bunn, Derek ; Perera, Niles H ; Goodarzi, Shadi. In: Energy Policy. RePEc:eee:enepol:v:134:y:2019:i:c:s0301421519304057.

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2017Electricity load forecasting by an improved forecast engine for building level consumers. (2017). Liu, Yang ; Ghadimi, Noradin ; Wang, Wei. In: Energy. RePEc:eee:energy:v:139:y:2017:i:c:p:18-30.

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2017Nonlinear empirical pricing in electricity markets using fundamental weather factors. (2017). Uribe, Jorge ; Manotas-Duque, Diego Fernando ; Mosquera-Lopez, Stephania. In: Energy. RePEc:eee:energy:v:139:y:2017:i:c:p:594-605.

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2018Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system. (2018). Fu, Guoyin. In: Energy. RePEc:eee:energy:v:148:y:2018:i:c:p:269-282.

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2018Short-term power output forecasting of hourly operation in power plant based on climate factors and effects of wind direction and wind speed. (2018). Dadkhah, Mojtaba ; Chavoshi, Ahmad Zare ; Rezaee, Mustafa Jahangoshai. In: Energy. RePEc:eee:energy:v:148:y:2018:i:c:p:775-788.

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2018Short-term power load probability density forecasting based on Yeo-Johnson transformation quantile regression and Gaussian kernel function. (2018). He, Yaoyao ; Zheng, Yaya. In: Energy. RePEc:eee:energy:v:154:y:2018:i:c:p:143-156.

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2018Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods. (2018). Suryanarayana, Gowri ; Johansson, Christian ; Aleksiejuk, Piotr ; Geysen, Davy ; Lago, Jesus. In: Energy. RePEc:eee:energy:v:157:y:2018:i:c:p:141-149.

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2018A hybrid model based on selective ensemble for energy consumption forecasting in China. (2018). Xiao, Jin ; Huang, Jing ; Liu, Dunhu ; Xie, Ling. In: Energy. RePEc:eee:energy:v:159:y:2018:i:c:p:534-546.

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2018Parallel and reliable probabilistic load forecasting via quantile regression forest and quantile determination. (2018). Zhang, Wenjie ; Srinivasan, Dipti ; Quan, Hao. In: Energy. RePEc:eee:energy:v:160:y:2018:i:c:p:810-819.

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2018Effective long short-term memory with differential evolution algorithm for electricity price prediction. (2018). Peng, LU ; Wang, Lin ; Liu, Rui. In: Energy. RePEc:eee:energy:v:162:y:2018:i:c:p:1301-1314.

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2018Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China. (2018). Fu, Xin ; Cai, Xiuwen ; Feng, Pengpeng ; Zeng, Xiao-Jun. In: Energy. RePEc:eee:energy:v:165:y:2018:i:pb:p:76-89.

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2019An innovative hybrid system for wind speed forecasting based on fuzzy preprocessing scheme and multi-objective optimization. (2019). Li, Ranran ; Yang, Hufang ; Zhu, Zhijie. In: Energy. RePEc:eee:energy:v:174:y:2019:i:c:p:1219-1237.

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2019Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models. (2019). Satre-Meloy, Aven. In: Energy. RePEc:eee:energy:v:174:y:2019:i:c:p:148-168.

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2019Electricity price prediction based on hybrid model of adam optimized LSTM neural network and wavelet transform. (2019). Chen, Wenbo ; Zhang, Yang ; Chang, Zihan. In: Energy. RePEc:eee:energy:v:187:y:2019:i:c:s0360544219314768.

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2020Forecast the electricity price of U.S. using a wavelet transform-based hybrid model. (2020). Yang, Zhe ; Qiao, Weibiao. In: Energy. RePEc:eee:energy:v:193:y:2020:i:c:s0360544219323990.

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2017Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?. (2017). Molnár, Peter ; Lyócsa, Štefan ; Todorova, Neda ; Molnar, Peter ; Lyocsa, Tefan. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:51:y:2017:i:c:p:228-247.

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2018Probabilistic forecasting of industrial electricity load with regime switching behavior. (2018). Müller, Alfred ; Muller, A ; Hoffmann, A ; Berk, K. In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:2:p:147-162.

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2019Quantile regression for the qualifying match of GEFCom2017 probabilistic load forecasting. (2019). Ziel, Florian. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1400-1408.

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2019On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks. (2019). Weron, Rafał ; Marcjasz, Grzegorz ; Uniejewski, Bartosz . In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1520-1532.

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2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO. (2019). Weron, Rafał ; Marcjasz, Grzegorz ; Uniejewski, Bartosz . In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1533-1547.

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2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:466-479.

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2018Electricity markets around the world. (2018). Trueck, Stefan ; Truck, Stefan ; Mayer, Klaus . In: Journal of Commodity Markets. RePEc:eee:jocoma:v:9:y:2018:i:c:p:77-100.

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2019Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory. (2019). Fernandez, Pedro Riesgo ; Matyjaszek, Marta ; Valverde, Gregorio Fidalgo ; Wodarski, Krzysztof ; Krzemie, Alicja. In: Resources Policy. RePEc:eee:jrpoli:v:61:y:2019:i:c:p:283-292.

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2019Stochastic Wind Energy Management Model within smart grid framework: A joint Bi-directional Service Level Agreement (SLA) between smart grid and Wind Energy District Prosumers. (2019). Haider, A ; Farid, U ; Jawad, M ; Mehmood, C A ; Ullah, Z ; Khan, B ; Ali, S M ; Hussain, I. In: Renewable Energy. RePEc:eee:renene:v:134:y:2019:i:c:p:1017-1033.

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2019Renewable generation forecast studies – Review and good practice guidance. (2019). Stadtmann, Georg ; Croonenbroeck, Carsten. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:108:y:2019:i:c:p:312-322.

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2019Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression. (2019). Shah, Nilay ; Sikinioti-Lock, Alexandra ; Sharifzadeh, Mahdi. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:108:y:2019:i:c:p:513-538.

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2017A new electricity price prediction strategy using mutual information-based SVM-RFE classification. (2017). Shao, Zhen ; Lin, Peng ; Zhou, Kaile ; Gao, Fei ; Yang, Shanlin. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:70:y:2017:i:c:p:330-341.

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2018Residential electricity pricing in China: The context of price-based demand response. (2018). Yang, Changhui ; Zhou, Kaile ; Meng, Chen . In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:81:y:2018:i:p2:p:2870-2878.

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2018Probabilistic mid- and long-term electricity price forecasting. (2018). Ziel, Florian ; Steinert, Rick. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:94:y:2018:i:c:p:251-266.

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2019Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources. (2019). Nan, Fany ; Grossi, Luigi. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:141:y:2019:i:c:p:305-318.

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2018A looming revolution: Implications of self-generation for the risk exposure of retailers. (2018). Bertsch, Valentin ; Russo, Marianna. In: Papers. RePEc:esr:wpaper:wp597.

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2017Forecasting Models of Electricity Prices. (2017). Contreras, Javier. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:2:p:160-:d:89090.

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2018A Trading-Based Evaluation of Density Forecasts in a Real-Time Electricity Market. (2018). Bunn, Derek W ; Kermer, Stefan ; Gianfreda, Angelica. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:10:p:2658-:d:173889.

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2018Assessment of Resource and Forecast Modeling of Wind Speed through An Evolutionary Programming Approach for the North of Tehuantepec Isthmus (Cuauhtemotzin, Mexico). (2018). Lopez-Manrique, Luis M ; Hernandez-Perez, I ; Aguilar-Castro, K M ; Bassam, A ; Tzuc, May O ; Macias-Melo, E V. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:11:p:3197-:d:183684.

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2018Probabilistic Electricity Price Forecasting Models by Aggregation of Competitive Predictors. (2018). Monteiro, Claudio ; Fernandez-Jimenez, Alfredo L ; Ramirez-Rosado, Ignacio J. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:5:p:1074-:d:143481.

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2018Electricity Price Forecasting Using Recurrent Neural Networks. (2018). Ugurlu, Umut ; Tas, Oktay ; Oksuz, Ilkay. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:5:p:1255-:d:146305.

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2018Risk Constrained Trading Strategies for Stochastic Generation with a Single-Price Balancing Market. (2018). Browell, Jethro. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:6:p:1345-:d:148973.

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2018Exploiting Artificial Neural Networks for the Prediction of Ancillary Energy Market Prices. (2018). Giovanelli, Christian ; Vyatkin, Valeriy ; Ichise, Ryutaro ; Sierla, Seppo. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:7:p:1906-:d:159229.

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2018Short-Term Electricity Price Forecasting Model Using Interval-Valued Autoregressive Process. (2018). Gligori, Zoran ; Musi, Omer ; Negovanovi, Milanka ; Gruji, Aleksandra ; Savi, Svetlana Trbac . In: Energies. RePEc:gam:jeners:v:11:y:2018:i:7:p:1911-:d:159316.

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2018Efficient Forecasting of Electricity Spot Prices with Expert and LASSO Models. (2018). Weron, Rafał ; Uniejewski, Bartosz. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:8:p:2039-:d:162196.

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2018The Financial Effect of the Electricity Price Forecasts’ Inaccuracy on a Hydro-Based Generation Company. (2018). Ugurlu, Umut ; Oksuz, Ilkay ; Kaya, Aycan ; Tas, Oktay. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:8:p:2093-:d:163292.

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2018Probabilistic Hourly Load Forecasting Using Additive Quantile Regression Models. (2018). Sigauke, Caston ; Maposa, Daniel ; Nemukula, Murendeni Maurel. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:9:p:2208-:d:165386.

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2018Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting. (2018). Weron, Rafał ; Serafin, Tomasz ; Marcjasz, Grzegorz . In: Energies. RePEc:gam:jeners:v:11:y:2018:i:9:p:2364-:d:168385.

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2019A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings. (2019). Vazquez, Jose Luis ; Gomez, Francisco A ; Torres, Miguel Garcia ; Divina, Federico. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:10:p:1934-:d:232835.

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2019Short-Term Electricity Demand Forecasting Using Components Estimation Technique. (2019). Wang, Depeng ; Ali, Sajid ; Iftikhar, Hasnain ; Shah, Ismail. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:13:p:2532-:d:244687.

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2019Averaging Predictive Distributions Across Calibration Windows for Day-Ahead Electricity Price Forecasting. (2019). Weron, Rafał ; Uniejewski, Bartosz ; Serafin, Tomasz. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:13:p:2561-:d:245313.

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2019Parsing the Effects of Wind and Solar Generation on the German Electricity Trade Surplus. (2019). Most, Dominik ; Schmidt, Matthew ; Schonheit, David ; Kumar, Samarth. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:18:p:3434-:d:264754.

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2019Day Ahead Hourly Global Horizontal Irradiance Forecasting—Application to South African Data. (2019). Mulaudzi, Sophie ; Bere, Alphonce ; Sigauke, Caston ; Mpfumali, Phathutshedzo. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:18:p:3569-:d:268391.

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2019Estimation and Simulation of the Transaction Arrival Process in Intraday Electricity Markets. (2019). Ziel, Florian ; Narajewski, Micha. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:23:p:4518-:d:291644.

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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.
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article42
2012Robust estimation and forecasting of the long-term seasonal component of electricity spot prices.(2012) In: MPRA Paper.
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This paper has another version. Agregated cites: 42
paper
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: 42
paper
2014An empirical comparison of alternative schemes for combining electricity spot price forecasts In: Energy Economics.
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article56
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: 56
paper
2016On the importance of the long-term seasonal component in day-ahead electricity price forecasting In: Energy Economics.
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article31
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: 31
paper
2016Improving short term load forecast accuracy via combining sister forecasts In: Energy.
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article25
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: 25
paper
2016A hybrid model for GEFCom2014 probabilistic electricity price forecasting In: International Journal of Forecasting.
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article28
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: 28
paper
2016Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging In: International Journal of Forecasting.
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article48
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: 48
paper
2018Recent advances in electricity price forecasting: A review of probabilistic forecasting In: Renewable and Sustainable Energy Reviews.
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article49
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: 49
paper
2016Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting In: Energies.
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article35
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: 35
paper
2015Computing electricity spot price prediction intervals using quantile regression and forecast averaging In: Computational Statistics.
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article31
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: 31
paper
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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paper1
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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paper0
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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paper3
2014Probabilistic load forecasting via Quantile Regression Averaging of independent expert forecasts In: HSC Research Reports.
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paper2
2015Probabilistic load forecasting via Quantile Regression Averaging on sister forecasts In: HSC Research Reports.
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paper13
2016To combine or not to combine? Recent trends in electricity price forecasting In: HSC Research Reports.
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paper4

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