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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Recent advances in electricity price forecasting: A review of probabilistic forecasting
Jakub Nowotarski, Rafał Weron
Renewable and Sustainable Energy Reviews (2017) Vol. 81, pp. 1548-1568
Open Access | Times Cited: 449

Showing 1-25 of 449 citing articles:

A review of deep learning for renewable energy forecasting
Huaizhi Wang, Zhenxing Lei, Xian Zhang, et al.
Energy Conversion and Management (2019) Vol. 198, pp. 111799-111799
Closed Access | Times Cited: 867
Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 705-871
Open Access | Times Cited: 545
Energy Forecasting: A Review and Outlook
Tao Hong, Pierre Pinson, Yi Wang, et al.
IEEE Open Access Journal of Power and Energy (2020) Vol. 7, pp. 376-388
Open Access | Times Cited: 411
Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network
Renzhi Lu, Seung Ho Hong, Mengmeng Yu
IEEE Transactions on Smart Grid (2019) Vol. 10, Iss. 6, pp. 6629-6639
Closed Access | Times Cited: 320
Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression
Mahdi Sharifzadeh, Alexandra Sikinioti-Lock, Nilay Shah
Renewable and Sustainable Energy Reviews (2019) Vol. 108, pp. 513-538
Closed Access | Times Cited: 294
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
Jesus Lago, Grzegorz Marcjasz, Bart De Schutter, et al.
Applied Energy (2021) Vol. 293, pp. 116983-116983
Open Access | Times Cited: 272
Short-Term Wind Speed Interval Prediction Based on Ensemble GRU Model
Chaoshun Li, Geng Tang, Xiaoming Xue, et al.
IEEE Transactions on Sustainable Energy (2019) Vol. 11, Iss. 3, pp. 1370-1380
Closed Access | Times Cited: 225
Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks
Florian Ziel, Rafał Weron
Energy Economics (2018) Vol. 70, pp. 396-420
Open Access | Times Cited: 194
Battery health prediction under generalized conditions using a Gaussian process transition model
Robert R. Richardson, Michael A. Osborne, David A. Howey
Journal of Energy Storage (2019) Vol. 23, pp. 320-328
Open Access | Times Cited: 189
An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks
Ping‐Huan Kuo, Chiou‐Jye Huang
Sustainability (2018) Vol. 10, Iss. 4, pp. 1280-1280
Open Access | Times Cited: 169
Forecast the electricity price of U.S. using a wavelet transform-based hybrid model
Weibiao Qiao, Zhe Yang
Energy (2019) Vol. 193, pp. 116704-116704
Closed Access | Times Cited: 161
Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
Peng Lu, Lin Ye, Yongning Zhao, et al.
Applied Energy (2021) Vol. 301, pp. 117446-117446
Closed Access | Times Cited: 131
Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Sara Barja-Martinez, Mònica Aragüés‐Peñalba, Íngrid Munné‐Collado, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 150, pp. 111459-111459
Open Access | Times Cited: 114
Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling
Wei Li, Denis Becker
Energy (2021) Vol. 237, pp. 121543-121543
Open Access | Times Cited: 109
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx
Kin G. Olivares, Cristian Challú, Grzegorz Marcjasz, et al.
International Journal of Forecasting (2022) Vol. 39, Iss. 2, pp. 884-900
Open Access | Times Cited: 105
Load Forecasting Techniques and Their Applications in Smart Grids
Hany Habbak, Mohamed Mahmoud, Khaled Metwally, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1480-1480
Open Access | Times Cited: 92
Fusion of Probability Density Functions
Günther Koliander, Yousef El-Laham, Petar M. Djurić, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 4, pp. 404-453
Open Access | Times Cited: 73
Control and Optimisation of Power Grids Using Smart Meter Data: A Review
Zhiyi Chen, Ali Moradi Amani, Xinghuo Yu, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2118-2118
Open Access | Times Cited: 71
Aggregating Prophet and Seasonal Trend Decomposition for Time Series Forecasting of Italian Electricity Spot Prices
Stéfano Frizzo Stefenon, Laio Oriel Seman, Viviana Cocco Mariani, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1371-1371
Open Access | Times Cited: 69
A review of predictive uncertainty estimation with machine learning
Hristos Tyralis, Georgia Papacharalampous
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 21
Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting
Gabriel Trierweiler Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho
Engineering Applications of Artificial Intelligence (2019) Vol. 82, pp. 272-281
Closed Access | Times Cited: 130
Probabilistic mid- and long-term electricity price forecasting
Florian Ziel, Rick Steinert
Renewable and Sustainable Energy Reviews (2018) Vol. 94, pp. 251-266
Open Access | Times Cited: 125
Variance Stabilizing Transformations for Electricity Spot Price Forecasting
Bartosz Uniejewski, Rafał Weron, Florian Ziel
IEEE Transactions on Power Systems (2017) Vol. 33, Iss. 2, pp. 2219-2229
Open Access | Times Cited: 124
A guideline to solar forecasting research practice: Reproducible, operational, probabilistic or physically-based, ensemble, and skill (ROPES)
Dazhi Yang
Journal of Renewable and Sustainable Energy (2019) Vol. 11, Iss. 2
Closed Access | Times Cited: 121
A Novel Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks
Hamidreza Jahangir, Hanif Tayarani, Sina Baghali, et al.
IEEE Transactions on Industrial Informatics (2019) Vol. 16, Iss. 4, pp. 2369-2381
Open Access | Times Cited: 120
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