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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.

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Showing 1-25 of 34 citing articles:

Energetics Systems and artificial intelligence: Applications of industry 4.0
Tanveer Ahmad, Hongyu Zhu, Dongdong Zhang, et al.
Energy Reports (2021) Vol. 8, pp. 334-361
Open Access | Times Cited: 223
Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization
Anbo Meng, Peng Wang, Guangsong Zhai, et al.
Energy (2022) Vol. 254, pp. 124212-124212
Closed Access | Times Cited: 90
Energy 4.0: AI-enabled digital transformation for sustainable power networks
Muhammad Khalid
Computers & Industrial Engineering (2024) Vol. 193, pp. 110253-110253
Closed Access | Times Cited: 22
Data-driven modeling for long-term electricity price forecasting
Paolo Gabrielli, Moritz Wüthrich, Steffen Blume, et al.
Energy (2022) Vol. 244, pp. 123107-123107
Open Access | Times Cited: 49
The role of data frequency and method selection in electricity price estimation: Comparative evidence from Turkey in pre-pandemic and pandemic periods
Serpil Kılıç Depren, Mustafa Tevfik Kartal, Hasan Murat Ertuğrul, et al.
Renewable Energy (2022) Vol. 186, pp. 217-225
Closed Access | Times Cited: 38
A Comprehensive Review: Study of Artificial Intelligence Optimization Technique Applications in a Hybrid Microgrid at Times of Fault Outbreaks
Musawenkosi Lethumcebo Thanduxolo Zulu, Rudiren Pillay Carpanen, Remy Tiako
Energies (2023) Vol. 16, Iss. 4, pp. 1786-1786
Open Access | Times Cited: 33
Machine learning-based demand response in PV-based smart home considering energy management in digital twin
Jueru Huang, Dmitry D. Koroteev, Marina Rynkovskaya
Solar Energy (2023) Vol. 252, pp. 8-19
Closed Access | Times Cited: 26
Spillover Effects among Electricity Prices, Traditional Energy Prices and Carbon Market under Climate Risk
Donglan Liu, Xin Liu, Kun Guo, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 2, pp. 1116-1116
Open Access | Times Cited: 24
Weather conditions, climate change, and the price of electricity
Stephanía Mosquera-López, Jorge M. Uribe, Orlando Joaqui-Barandica
Energy Economics (2024) Vol. 137, pp. 107789-107789
Open Access | Times Cited: 5
Forecasting International Electricity Market Prices by Using Optimized Machine Learning Systems
Salim Lahmiri
Smart Grids and Sustainable Energy (2025) Vol. 10, Iss. 1
Closed Access
Comparative Analysis of Carbon Tax and Carbon Market Strategies for Facilitating Carbon Neutrality in China’s Coal-Fired Electricity Sector
Yin Li, Xu Wang, Qin Qi
Sustainability (2025) Vol. 17, Iss. 5, pp. 1961-1961
Open Access
GHTnet: Tri-Branch deep learning network for real-time electricity price forecasting
Haolin Yang, Kristen R. Schell
Energy (2021) Vol. 238, pp. 122052-122052
Closed Access | Times Cited: 27
QCAE: A quadruple branch CNN autoencoder for real-time electricity price forecasting
Haolin Yang, Kristen R. Schell
International Journal of Electrical Power & Energy Systems (2022) Vol. 141, pp. 108092-108092
Closed Access | Times Cited: 19
Short-term Price Forecasting Method in Electricity Spot Markets Based on Attention-LSTM-mTCN
Guang Yang, Songhuai Du, Qingling Duan, et al.
Journal of Electrical Engineering and Technology (2022) Vol. 17, Iss. 2, pp. 1009-1018
Closed Access | Times Cited: 17
Forecasting electricity prices from the state-of-the-art modeling technology and the price determinant perspectives
Shanglei Chai, Qiang Li, Mohammad Zoynul Abedin, et al.
Research in International Business and Finance (2023) Vol. 67, pp. 102132-102132
Open Access | Times Cited: 10
Intraday Electricity Price Forecasting via LSTM and Trading Strategy for the Power Market: A Case Study of the West Denmark DK1 Grid Region
Deniz Kenan Kılıç, Peter Nielsen, Amila Thibbotuwawa
Energies (2024) Vol. 17, Iss. 12, pp. 2909-2909
Open Access | Times Cited: 3
Wholesale electricity price forecasting by Quantile Regression and Kalman Filter method
Mohammad Reza Monjazeb, Hossein Amiri, Akram Movahedi
Energy (2023) Vol. 290, pp. 129925-129925
Closed Access | Times Cited: 8
The impact of weather changes on the supply and demand of electric power and wholesale prices of electricity in Germany
Kenta Tanaka, Ken’ichi Matsumoto, Alexander Ryota Keeley, et al.
Sustainability Science (2022) Vol. 17, Iss. 5, pp. 1813-1825
Closed Access | Times Cited: 13
A Review on Machine Learning Models in Forecasting of Virtual Power Plant Uncertainties
Ahmet Doğan, Demet Cidem Dogan
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 2081-2103
Closed Access | Times Cited: 13
Proper Scoring Rules for Evaluating Density Forecasts with Asymmetric Loss Functions
Matteo Iacopini, Francesco Ravazzolo, Luca Rossini
Journal of Business and Economic Statistics (2022) Vol. 41, Iss. 2, pp. 482-496
Open Access | Times Cited: 8
How responsive are retail electricity prices to crude oil fluctuations in the US? Time-varying and asymmetric perspectives
Keyu Luo, Yong Ye
Research in International Business and Finance (2024) Vol. 69, pp. 102234-102234
Closed Access | Times Cited: 1
Environmental temperature variation and electricity demand instability: A comprehensive assessment based on high-frequency load situation
Qiao Qiao, Zuopeng Zhang, Boqiang Lin
Environmental Impact Assessment Review (2023) Vol. 103, pp. 107281-107281
Closed Access | Times Cited: 4
A new approach to modeling cycles with summer and winter demand peaks as input variables for deep neural networks
Tomasz Jasiński
Renewable and Sustainable Energy Reviews (2022) Vol. 159, pp. 112217-112217
Closed Access | Times Cited: 3
Forecasting of electricity prices, demand, and renewable resources
Juan M. Lujano‐Rojas, Rodolfo Dufo‐López, José A. Domínguez‐Navarro
Elsevier eBooks (2022), pp. 201-246
Closed Access | Times Cited: 3
Spatial–Temporal Temperature Forecasting Using Deep-Neural-Network-Based Domain Adaptation
Vu Tran, François Septier, Daisuke Murakami, et al.
Atmosphere (2024) Vol. 15, Iss. 1, pp. 90-90
Open Access
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