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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 68 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
COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications
Mohamad Abou Houran, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Applied Energy (2023) Vol. 349, pp. 121638-121638
Closed Access | Times Cited: 177
Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques
Laith Abualigah, Raed Abu Zitar, Khaled H. Almotairi, et al.
Energies (2022) Vol. 15, Iss. 2, pp. 578-578
Open Access | Times Cited: 112
State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques
Raniyah Wazirali, Elnaz Yaghoubi, Mohammed Shadi S. Abujazar, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109792-109792
Closed Access | Times Cited: 110
Shaping the future of sustainable energy through AI-enabled circular economy policies
Mir Sayed Shah Danish, Tomonobu Senjyu
Circular Economy (2023) Vol. 2, Iss. 2, pp. 100040-100040
Open Access | Times Cited: 58
Hybrid energy system integration and management for solar energy: A review
Tolulope Olumuyiwa Falope, Liyun Lao, Dawid P. Hanak, et al.
Energy Conversion and Management X (2024) Vol. 21, pp. 100527-100527
Open Access | Times Cited: 48
Predicting photovoltaic power production using high-uncertainty weather forecasts
Tomas Polasek, Martin Čadík
Applied Energy (2023) Vol. 339, pp. 120989-120989
Closed Access | Times Cited: 42
Joint forecasting of source-load-price for integrated energy system based on multi-task learning and hybrid attention mechanism
Ke Li, Yuchen Mu, Fan Yang, et al.
Applied Energy (2024) Vol. 360, pp. 122821-122821
Closed Access | Times Cited: 18
A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting
Tanveer Ahmad, Dongdong Zhang
Energy (2021) Vol. 239, pp. 122109-122109
Closed Access | Times Cited: 87
Optimal bidding strategy of a renewable-based virtual power plant including wind and solar units and dispatchable loads
Morteza Shafiekhani, Abdollah Ahmadi, Omid Homaee, et al.
Energy (2021) Vol. 239, pp. 122379-122379
Open Access | Times Cited: 80
Solar and wind power data from the Chinese State Grid Renewable Energy Generation Forecasting Competition
Yongbao Chen, Junjie Xu
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 54
Uncertainty energy planning of net-zero energy communities with peer-to-peer energy trading and green vehicle storage considering climate changes by 2050 with machine learning methods
Jia Liu, Yuekuan Zhou, Hongxing Yang, et al.
Applied Energy (2022) Vol. 321, pp. 119394-119394
Closed Access | Times Cited: 46
An integrated framework of gated recurrent unit based on improved sine cosine algorithm for photovoltaic power forecasting
Huixin Ma, Chu Zhang, Peng Tian, et al.
Energy (2022) Vol. 256, pp. 124650-124650
Closed Access | Times Cited: 38
A hybrid short-term wind power point-interval prediction model based on combination of improved preprocessing methods and entropy weighted GRU quantile regression network
Tianhong Liu, Shengli Qi, Xianzhu Qiao, et al.
Energy (2023) Vol. 288, pp. 129904-129904
Closed Access | Times Cited: 25
ResDenIncepNet-CBAM with principal component analysis for wind turbine blade cracking fault prediction with only short time scale SCADA data
Quan Lu, Wanxing Ye, Linfei Yin
Measurement (2023) Vol. 212, pp. 112696-112696
Closed Access | Times Cited: 24
Onshore and offshore wind power generation forecasting using a novel flexible time-varying fractional nonlinear grey model
Xuemei Li, Shiwei Zhou, Yufeng Zhao
Energy Conversion and Management (2023) Vol. 297, pp. 117695-117695
Closed Access | Times Cited: 22
A review of short-term wind power generation forecasting methods in recent technological trends
Ezgi Arslan Tuncar, Şafak Sağlam, Bülent Oral
Energy Reports (2024) Vol. 12, pp. 197-209
Closed Access | Times Cited: 13
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction
Yuvaraj Natarajan, K. R. Sri Preethaa, Girish Wadhwa, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 1925-1925
Open Access | Times Cited: 9
Role of machine learning in attaining environmental sustainability
P. Asha, Kasiprasad Mannepalli, Rashmita Khilar, et al.
Energy Reports (2022) Vol. 8, pp. 863-871
Open Access | Times Cited: 29
A novel cyber-Resilient solar power forecasting model based on secure federated deep learning and data visualization
Arash Moradzadeh, Hamed Moayyed, Behnam Mohammadi‐Ivatloo, et al.
Renewable Energy (2023) Vol. 211, pp. 697-705
Open Access | Times Cited: 17
Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey
Sabarathinam Srinivasan, Suresh Kumarasamy, Zacharias Andreadakis, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5383-5383
Open Access | Times Cited: 17
Advancing solar energy forecasting with modified ANN and light GBM learning algorithms
Muhammad Farhan Hanif, Muhammad Sabir Naveed, Mohamed Metwaly, et al.
AIMS energy (2024) Vol. 12, Iss. 2, pp. 350-386
Open Access | Times Cited: 7
Enhancing Solar Forecasting Accuracy with Sequential Deep Artificial Neural Network and Hybrid Random Forest and Gradient Boosting Models across Varied Terrains
Muhammad Farhan Hanif, Muhammad Umar Siddique, Jicang Si, et al.
Advanced Theory and Simulations (2024) Vol. 7, Iss. 7
Closed Access | Times Cited: 5
State-of-the-Art Using Bibliometric Analysis of Wind-Speed and -Power Forecasting Methods Applied in Power Systems
Ana Catarina Lagos, Joaquín E. Caicedo, Gustavo Coria, et al.
Energies (2022) Vol. 15, Iss. 18, pp. 6545-6545
Open Access | Times Cited: 26
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
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