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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 91 citing articles:

Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Hui Liu, Chao Chen, Xinwei Lv, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 328-345
Closed Access | Times Cited: 253
A Survey of Machine Learning Models in Renewable Energy Predictions
Jung-Pin Lai, Yu-Ming Chang, Chieh-Huang Chen, et al.
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 5975-5975
Open Access | Times Cited: 155
Deep learning-based multistep ahead wind speed and power generation forecasting using direct method
Maryam Yaghoubirad, Narjes Azizi, Meisam Farajollahi, et al.
Energy Conversion and Management (2023) Vol. 281, pp. 116760-116760
Closed Access | Times Cited: 52
Comprehensive study of the artificial intelligence applied in renewable energy
Aseel Bennagi, Obaida AlHousrya, Daniel Tudor Cotfas, et al.
Energy Strategy Reviews (2024) Vol. 54, pp. 101446-101446
Open Access | Times Cited: 16
Models for Short-Term Wind Power Forecasting Based on Improved Artificial Neural Network Using Particle Swarm Optimization and Genetic Algorithms
Dinh Thanh Viet, Vo Van Phuong, Minh Quan Duong, et al.
Energies (2020) Vol. 13, Iss. 11, pp. 2873-2873
Open Access | Times Cited: 70
A Short-Term Residential Load Forecasting Model Based on LSTM Recurrent Neural Network Considering Weather Features
Yizhen Wang, Ningqing Zhang, Xiong Chen
Energies (2021) Vol. 14, Iss. 10, pp. 2737-2737
Open Access | Times Cited: 55
Artificial Intelligence in Wind Speed Forecasting: A Review
Sandra Minerva Valdivia-Bautista, José A. Domínguez‐Navarro, Marco Pérez‐Cisneros, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2457-2457
Open Access | Times Cited: 40
A survey of artificial intelligence methods for renewable energy forecasting: Methodologies and insights
Blessing Olatunde Abisoye, Yanxia Sun, Zenghui Wang
Renewable energy focus (2023) Vol. 48, pp. 100529-100529
Open Access | Times Cited: 27
Data-driven prediction of indoor airflow distribution in naturally ventilated residential buildings using combined CFD simulation and machine learning (ML) approach
Tran Van Quang, Dat Tien Doan, Nguyen Lu Phuong, et al.
Journal of Building Physics (2024) Vol. 47, Iss. 4, pp. 439-471
Closed Access | Times Cited: 8
Application of linear regression algorithm and stochastic gradient descent in a machine‐learning environment for predicting biomass higher heating value
Joshua O. Ighalo, Adewale George Adeniyi, Gonçalo Marques
Biofuels Bioproducts and Biorefining (2020) Vol. 14, Iss. 6, pp. 1286-1295
Closed Access | Times Cited: 55
Recent Approaches of Forecasting and Optimal Economic Dispatch to Overcome Intermittency of Wind and Photovoltaic (PV) Systems: A Review
Manzoor Ellahi, Ghulam Abbas, Irfan Khan, et al.
Energies (2019) Vol. 12, Iss. 22, pp. 4392-4392
Open Access | Times Cited: 45
Deep Learning for Wind Speed Forecasting Using Bi-LSTM with Selected Features
Siva Sankari Subbiah, Senthil Kumar Paramasivan, Karmel Arockiasamy, et al.
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 3, pp. 3829-3844
Open Access | Times Cited: 26
Effective artificial neural network-based wind power generation and load demand forecasting for optimum energy management
Jannet Jamii, Majdi Mansouri, Mohamed Trabelsi, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 26
An efficient wind speed prediction method based on a deep neural network without future information leakage
Ke Li, Ruifang Shen, Zhenguo Wang, et al.
Energy (2022) Vol. 267, pp. 126589-126589
Closed Access | Times Cited: 23
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis
Simiao Ren, Wayne Hu, Kyle Bradbury, et al.
Applied Energy (2022) Vol. 326, pp. 119876-119876
Open Access | Times Cited: 22
A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting
Yugui Tang, Shujing Zhang, Zhen Zhang
Energy (2023) Vol. 286, pp. 129639-129639
Closed Access | Times Cited: 14
Forecasting Uncertainty Parameters of Virtual Power Plants Using Decision Tree Algorithm
Raji Krishna, Hemamalini Sathish, Ning Zhou
Electric Power Components and Systems (2023) Vol. 51, Iss. 16, pp. 1756-1769
Closed Access | Times Cited: 13
Advancements in wind power forecasting: A comprehensive review of artificial intelligence-based approaches
Krishan Kumar, Priti Prabhakar, Avnesh Verma, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 5
A Review of Wind Power Prediction Methods Based on Multi-Time Scales
Fan Li, Hongzhen Wang, Dan Wang, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1713-1713
Open Access
Personalized HRTF Modeling Based on Deep Neural Network Using Anthropometric Measurements and Images of the Ear
Geon Woo Lee, Hong Kook Kim
Applied Sciences (2018) Vol. 8, Iss. 11, pp. 2180-2180
Open Access | Times Cited: 46
Microgrid-Level Energy Management Approach Based on Short-Term Forecasting of Wind Speed and Solar Irradiance
Musaed Alhussein, Syed Irtaza Haider, Khursheed Aurangzeb
Energies (2019) Vol. 12, Iss. 8, pp. 1487-1487
Open Access | Times Cited: 38
Multi-Step Short-Term Wind Speed Prediction Using a Residual Dilated Causal Convolutional Network with Nonlinear Attention
Shivam Kumar, Jong-Chyuan Tzou, Shang-Chen Wu
Energies (2020) Vol. 13, Iss. 7, pp. 1772-1772
Open Access | Times Cited: 33
Demand Side Management for Smart Grid Based on Smart Home Appliances with Renewable Energy Sources and an Energy Storage System
Zhihong Xu, Yan Gao, Muhammad Majid Hussain, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-20
Open Access | Times Cited: 33
Challenges of High Renewable Energy Sources Integration in Power Systems—The Case of Croatia
Ninoslav Holjevac, Tomislav Baškarad, Josip Đaković, et al.
Energies (2021) Vol. 14, Iss. 4, pp. 1047-1047
Open Access | Times Cited: 30
Determination of the Optimal Volume and Distribution of Learning Data for Solar Irradiance Forecasting Applications
Houssem Eddine Louchene, Hassen Bouzgou, Christian A. Gueymard
Lecture notes in networks and systems (2025), pp. 584-593
Closed Access
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