Jakub Nowotarski : Citation Profile

Are you Jakub Nowotarski?

Politechnika Wrocławska

10

H index

10

i10 index

699

Citations

RESEARCH PRODUCTION:

9

Articles

16

Papers

RESEARCH ACTIVITY:

   6 years (2012 - 2018). See details.
   Cites by year: 116
   Journals where Jakub Nowotarski has often published
   Relations with other researchers
   Recent citing documents: 75.    Total self citations: 23 (3.19 %)

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   Permalink: http://citec.repec.org/pno175
   Updated: 2024-12-03    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 (191)

Marcjasz, Grzegorz (116)

Uniejewski, Bartosz (115)

Serafin, Tomasz (31)

Maciejowska, Katarzyna (29)

Nitka, Weronika (17)

Gianfreda, Angelica (13)

Weron, Tomasz (11)

Grossi, Luigi (10)

Janczura, Joanna (8)

Trueck, Stefan (8)

Cites to:

Weron, Rafał (158)

Misiorek, Adam (43)

Trueck, Stefan (31)

Hong, Tao (30)

Maciejowska, Katarzyna (23)

Janczura, Joanna (16)

Lisi, Francesco (14)

Nan, Fany (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 (2024 and 2023)

YearTitle of citing document
2023Bayesian 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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2024Smoothing 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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2024Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices. (2023). Ziel, Florian ; Berrisch, Jonathan. In: Papers. RePEc:arx:papers:2303.10019.

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2023A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling. (2023). Musgens, Felix ; Grothe, Oliver ; Mobius, Thomas ; Watermeyer, Mira. In: Papers. RePEc:arx:papers:2304.09336.

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2023Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?. (2023). Weron, Rafal ; Nitka, Weronika. In: Papers. RePEc:arx:papers:2308.15443.

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

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2024Postprocessing of point predictions for probabilistic forecasting of electricity prices: Diversity matters. (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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2023Regulated peer-to-peer energy markets for harnessing decentralized demand flexibility. (2023). Zhang, Max K ; Lee, Zachary E. In: Applied Energy. RePEc:eee:appene:v:336:y:2023:i:c:s0306261923000363.

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2023Multivariate probabilistic forecasting of intraday electricity prices using normalizing flows. (2023). Dahmen, Manuel ; Mitsos, Alexander ; Witthaut, Dirk ; Cramer, Eike. In: Applied Energy. RePEc:eee:appene:v:346:y:2023:i:c:s0306261923007341.

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2023Event-driven forecasting of wholesale electricity price and frequency regulation price using machine learning algorithms. (2023). Pan, Zehua ; Sai, Wei ; Chan, Siew Hwa ; Miao, Bin ; Zhong, Zheng ; Jiao, Zhenjun ; Liu, Siyu. In: Applied Energy. RePEc:eee:appene:v:352:y:2023:i:c:s0306261923013533.

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2024Forecasting individual bids in real electricity markets through machine learning framework. (2024). Chen, Qixin ; Zheng, Kedi ; Guo, Hongye ; Tang, Qinghu. 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). Fu, Xiaohan ; Lago, Jesus ; Botman, Lola ; de Moor, Bart ; Kleissl, Jan ; Wolf, Jesse ; Chia, Keaton. In: Applied Energy. RePEc:eee:appene:v:364:y:2024:i:c:s0306261924004811.

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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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2023From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting. (2023). Kruger, Fabian ; Kachele, Fabian ; Grothe, Oliver. In: Energy Economics. RePEc:eee:eneeco:v:120:y:2023:i:c:s0140988323001007.

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2023Distributional neural networks for electricity price forecasting. (2023). Weron, Rafał ; Ziel, Florian ; Narajewski, Micha ; Marcjasz, Grzegorz. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003419.

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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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2023A worldwide analysis of the energy regulatory tasks and activities through the lenses of entropy and unsupervised statistical learning. (2023). Scandolo, Giacomo ; Gianfreda, Angelica. In: Energy. RePEc:eee:energy:v:271:y:2023:i:c:s0360544223003638.

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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). Movahedi, Akram ; Amiri, Hossein ; Monjazeb, Mohammad Reza. 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 ; Al-Sumaiti, Ameena Saad ; Elsir, Mohamed. In: Energy. RePEc:eee:energy:v:293:y:2024:i:c:s0360544224003955.

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2023Forecasting electricity prices with expert, linear, and nonlinear models. (2023). Ravazzolo, Francesco ; del Grosso, Filippo ; Gianfreda, Angelica ; Bille, Anna Gloria. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:570-586.

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2023Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. (2023). Weron, Rafał ; Dubrawski, Artur ; Marcjasz, Grzegorz ; Challu, Cristian ; Olivares, Kin G. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:884-900.

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2023Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models. (2023). Meng, Xiaochun ; Han, Yang ; Alexander, Carol. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1078-1096.

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2023Forecasting electricity prices using bid data. (2023). Nasirov, Shahriyar ; Martinez, Blanca ; Ciarreta, Aitor. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1253-1271.

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2023Forecast combinations: An over 50-year review. (2023). Li, Feng ; Kang, Yanfei ; Hyndman, Rob J ; Wang, Xiao Qian. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1518-1547.

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2023LASSO principal component averaging: A fully automated approach for point forecast pooling. (2023). Maciejowska, Katarzyna ; Uniejewski, Bartosz. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1839-1852.

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

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2023Analysis of hourly price granularity implementation in the Brazilian deregulated electricity contracting environment. (2023). Pereira, Benvindo Rodrigues ; Lage, Guilherme Guimares ; Faria, Wandry Rodrigues ; Leite, Ciniro Aparecido. In: Utilities Policy. RePEc:eee:juipol:v:81:y:2023:i:c:s0957178723000255.

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2023Machine learning methods for inflation forecasting in Brazil: New contenders versus classical models. (2023). Gaglianone, Wagner ; Araujo, Gustavo Silva. In: Latin American Journal of Central Banking (previously Monetaria). RePEc:eee:lajcba:v:4:y:2023:i:2:s2666143823000042.

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2024A hybrid forecasting framework based on MCS and machine learning for higher dimensional and unbalanced systems. (2024). Li, Jiang-Cheng ; Xie, Zu-Guang ; Wang, Li-Ya ; Zhong, Guang-Yan ; Yang, Guo-Hui. 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). Wu, Cong ; Cheng, Feng ; Jiang, Hongyan ; Zeng, Yuhai ; Fang, Dianjun. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006816.

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

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2023Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging. (2023). Mir, Syed ; Grolinger, Katarina ; Ahmed, Mohamed ; Skala, Raiden. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:10:p:4093-:d:1147109.

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2023Short-Term Natural Gas and Carbon Price Forecasting Using Artificial Neural Networks. (2023). Karl, Jurgen ; Markthaler, Simon ; Miederer, Jonas ; Plankenbuhler, Thomas ; Kolb, Sebastian ; Bohm, Laura. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:18:p:6643-:d:1240996.

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2023Prediction of Matching Prices in Electricity Markets through Curve Representation. (2023). Alonso, Andres M ; Foronda-Pascual, Daniel. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:23:p:7812-:d:1289042.

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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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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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2024.

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2023Probabilistic forecasting of electricity prices using an augmented LMARX-model. (2023). Sheybanivaziri, Samaneh ; Andersson, Jonas. In: Discussion Papers. RePEc:hhs:nhhfms:2023_011.

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2023Bayesian Forecasting in the 21st Century: A Modern Review. (2023). Maheu, John ; Panagiotelis, Anastasios ; Nibbering, Didier ; Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Frazier, David T ; Martin, Gael M. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2023-1.

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2023Identifying Risk Factors and Their Premia: A Study on Electricity Prices*. (2023). Lunde, Asger ; Wei, Wei. In: Journal of Financial Econometrics. RePEc:oup:jfinec:v:21:y:2023:i:5:p:1647-1679..

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2024Forecasting inflation time series using score?driven dynamic models and combination methods: The case of Brazil. (2023). Lucena, Fernando Antonio ; Dias, Carlos Henrique. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:2:p:369-401.

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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]		article51
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: 51		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: 51		paper
2014An empirical comparison of alternative schemes for combining electricity spot price forecasts In: Energy Economics.
[Full Text][Citation analysis]		article90
2013An empirical comparison of alternate schemes for combining electricity spot price forecasts.(2013) In: HSC Research Reports.
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This paper has nother version. Agregated cites: 90		paper
2016On the importance of the long-term seasonal component in day-ahead electricity price forecasting In: Energy Economics.
[Full Text][Citation analysis]		article54
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: 54		paper
2016Improving short term load forecast accuracy via combining sister forecasts In: Energy.
[Full Text][Citation analysis]		article34
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: 34		paper
2016A hybrid model for GEFCom2014 probabilistic electricity price forecasting In: International Journal of Forecasting.
[Full Text][Citation analysis]		article51
2015A hybrid model for GEFCom2014 probabilistic electricity price forecasting.(2015) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 51		paper
2016Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging In: International Journal of Forecasting.
[Full Text][Citation analysis]		article81
2014Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging.(2014) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 81		paper
2018Recent advances in electricity price forecasting: A review of probabilistic forecasting In: Renewable and Sustainable Energy Reviews.
[Full Text][Citation analysis]		article169
2016Recent advances in electricity price forecasting: A review of probabilistic forecasting.(2016) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 169		paper
2016Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting In: Energies.
[Full Text][Citation analysis]		article74
2016Automated variable selection and shrinkage for day-ahead electricity price forecasting.(2016) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 74		paper
2015Computing electricity spot price prediction intervals using quantile regression and forecast averaging In: Computational Statistics.
[Full Text][Citation analysis]		article56
2013Computing electricity spot price prediction intervals using quantile regression and forecast averaging.(2013) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 56		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]		paper5
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]		paper20
2016To combine or not to combine? Recent trends in electricity price forecasting In: HSC Research Reports.
[Full Text][Citation analysis]		paper9

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