
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:
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
Wendong Yang, Shaolong Sun, Hao Yan, et al.
Energy (2021) Vol. 238, pp. 121989-121989
Closed Access | Times Cited: 102
Wendong Yang, Shaolong Sun, Hao Yan, et al.
Energy (2021) Vol. 238, pp. 121989-121989
Closed Access | Times Cited: 102
Showing 1-25 of 102 citing articles:
Carbon price forecasting based on CEEMDAN and LSTM
Feite Zhou, Zhehao Huang, Changhong Zhang
Applied Energy (2022) Vol. 311, pp. 118601-118601
Closed Access | Times Cited: 254
Feite Zhou, Zhehao Huang, Changhong Zhang
Applied Energy (2022) Vol. 311, pp. 118601-118601
Closed Access | Times Cited: 254
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: 115
Laith Abualigah, Raed Abu Zitar, Khaled H. Almotairi, et al.
Energies (2022) Vol. 15, Iss. 2, pp. 578-578
Open Access | Times Cited: 115
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: 92
Anbo Meng, Peng Wang, Guangsong Zhai, et al.
Energy (2022) Vol. 254, pp. 124212-124212
Closed Access | Times Cited: 92
Machine learning in marketing: A literature review, conceptual framework, and research agenda
Eric W.T. Ngai, Yuanyuan Wu
Journal of Business Research (2022) Vol. 145, pp. 35-48
Closed Access | Times Cited: 84
Eric W.T. Ngai, Yuanyuan Wu
Journal of Business Research (2022) Vol. 145, pp. 35-48
Closed Access | Times Cited: 84
A multi-factor combined traffic flow prediction model with secondary decomposition and improved entropy weight method
Guohui Li, Haonan Deng, Hong Yang
Expert Systems with Applications (2024) Vol. 255, pp. 124424-124424
Closed Access | Times Cited: 18
Guohui Li, Haonan Deng, Hong Yang
Expert Systems with Applications (2024) Vol. 255, pp. 124424-124424
Closed Access | Times Cited: 18
A Review on Socio-technical Transition Pathway to European Super Smart Grid: Trends, Challenges and Way Forward via Enabling Technologies
Herman Zahid, Adil Zulfiqar, Muhammad Adnan Khan, et al.
Results in Engineering (2025), pp. 104155-104155
Open Access | Times Cited: 2
Herman Zahid, Adil Zulfiqar, Muhammad Adnan Khan, et al.
Results in Engineering (2025), pp. 104155-104155
Open Access | Times Cited: 2
A novel ensemble model based on artificial intelligence and mixed-frequency techniques for wind speed forecasting
Wendong Yang, Zhirui Tian, Hao Yan
Energy Conversion and Management (2021) Vol. 252, pp. 115086-115086
Closed Access | Times Cited: 58
Wendong Yang, Zhirui Tian, Hao Yan
Energy Conversion and Management (2021) Vol. 252, pp. 115086-115086
Closed Access | Times Cited: 58
Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithm
Chunying Wu, Jianzhou Wang, Hao Yan
Resources Policy (2022) Vol. 77, pp. 102780-102780
Closed Access | Times Cited: 50
Chunying Wu, Jianzhou Wang, Hao Yan
Resources Policy (2022) Vol. 77, pp. 102780-102780
Closed Access | Times Cited: 50
Innovative ensemble system based on mixed frequency modeling for wind speed point and interval forecasting
Wendong Yang, Mengying Hao, Hao Yan
Information Sciences (2022) Vol. 622, pp. 560-586
Closed Access | Times Cited: 42
Wendong Yang, Mengying Hao, Hao Yan
Information Sciences (2022) Vol. 622, pp. 560-586
Closed Access | Times Cited: 42
Probabilistic accumulation grey forecasting model and its properties
Kai Zhang, Kedong Yin, Wendong Yang
Expert Systems with Applications (2023) Vol. 223, pp. 119889-119889
Closed Access | Times Cited: 29
Kai Zhang, Kedong Yin, Wendong Yang
Expert Systems with Applications (2023) Vol. 223, pp. 119889-119889
Closed Access | Times Cited: 29
TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets
Dalal AL-Alimi, Ayman Mutahar AlRassas, Mohammed A. A. Al‐qaness, et al.
Applied Energy (2023) Vol. 343, pp. 121230-121230
Closed Access | Times Cited: 26
Dalal AL-Alimi, Ayman Mutahar AlRassas, Mohammed A. A. Al‐qaness, et al.
Applied Energy (2023) Vol. 343, pp. 121230-121230
Closed Access | Times Cited: 26
Electricity market price forecasting using ELM and Bootstrap analysis: A case study of the German and Finnish Day-Ahead markets
Stylianos Loizidis, Andreas Kyprianou, George E. Georghiou
Applied Energy (2024) Vol. 363, pp. 123058-123058
Open Access | Times Cited: 15
Stylianos Loizidis, Andreas Kyprianou, George E. Georghiou
Applied Energy (2024) Vol. 363, pp. 123058-123058
Open Access | Times Cited: 15
A novel multivariate electrical price bi-forecasting system based on deep learning, a multi-input multi-output structure and an operator combination mechanism
Ying Nie, Ping Li, Jianzhou Wang, et al.
Applied Energy (2024) Vol. 366, pp. 123233-123233
Closed Access | Times Cited: 9
Ying Nie, Ping Li, Jianzhou Wang, et al.
Applied Energy (2024) Vol. 366, pp. 123233-123233
Closed Access | Times Cited: 9
MSV-net: Multi-scale visual-inspired network for short-term electricity price forecasting
Han Wu, Yan Liang, Jiani Heng, et al.
Energy (2024) Vol. 291, pp. 130350-130350
Closed Access | Times Cited: 8
Han Wu, Yan Liang, Jiani Heng, et al.
Energy (2024) Vol. 291, pp. 130350-130350
Closed Access | Times Cited: 8
Seq2Seq-LSTM With Attention for Electricity Load Forecasting in Brazil
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IEEE Access (2024) Vol. 12, pp. 30020-30029
Open Access | Times Cited: 8
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IEEE Access (2024) Vol. 12, pp. 30020-30029
Open Access | Times Cited: 8
Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting
Nawazish Mirza, Syed Kumail Abbas Rizvi, Bushra Naqvi, et al.
International Review of Financial Analysis (2024) Vol. 94, pp. 103238-103238
Closed Access | Times Cited: 8
Nawazish Mirza, Syed Kumail Abbas Rizvi, Bushra Naqvi, et al.
International Review of Financial Analysis (2024) Vol. 94, pp. 103238-103238
Closed Access | Times Cited: 8
A hybrid day-ahead electricity price forecasting framework based on time series
Xiaoping Xiong, Guohua Qing
Energy (2022) Vol. 264, pp. 126099-126099
Closed Access | Times Cited: 33
Xiaoping Xiong, Guohua Qing
Energy (2022) Vol. 264, pp. 126099-126099
Closed Access | Times Cited: 33
Forecasting Day-Ahead Electricity Prices for the Italian Electricity Market Using a New Decomposition—Combination Technique
Hasnain Iftikhar, Josué Edison Turpo Chaparro, Paulo Canas Rodrigues, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6669-6669
Open Access | Times Cited: 20
Hasnain Iftikhar, Josué Edison Turpo Chaparro, Paulo Canas Rodrigues, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6669-6669
Open Access | Times Cited: 20
A Solar Irradiance Forecasting Framework Based on the CEE-WGAN-LSTM Model
Qianqian Li, Dongping Zhang, Ke Yan
Sensors (2023) Vol. 23, Iss. 5, pp. 2799-2799
Open Access | Times Cited: 17
Qianqian Li, Dongping Zhang, Ke Yan
Sensors (2023) Vol. 23, Iss. 5, pp. 2799-2799
Open Access | Times Cited: 17
A hybrid deep learning framework integrating feature selection and transfer learning for multi-step global horizontal irradiation forecasting
Tong Niu, Jinkai Li, Wei Wei, et al.
Applied Energy (2022) Vol. 326, pp. 119964-119964
Open Access | Times Cited: 27
Tong Niu, Jinkai Li, Wei Wei, et al.
Applied Energy (2022) Vol. 326, pp. 119964-119964
Open Access | Times Cited: 27
Forecasting Energy Consumption Based on SVR and Markov Model: A Case Study of China
Zhaosu Meng, Huike Sun, Xi Wang
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 26
Zhaosu Meng, Huike Sun, Xi Wang
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 26
Combined model predictive control and ANN-based forecasters for jointly acting renewable self-consumers: An environmental and economical evaluation
Simone Negri, Federico Giani, Nicola Blasuttigh, et al.
Renewable Energy (2022) Vol. 198, pp. 440-454
Closed Access | Times Cited: 24
Simone Negri, Federico Giani, Nicola Blasuttigh, et al.
Renewable Energy (2022) Vol. 198, pp. 440-454
Closed Access | Times Cited: 24
Transfer learning for electricity price forecasting
Salih Gündüz, Umut Uğurlu, İlkay Öksüz
Sustainable Energy Grids and Networks (2023) Vol. 34, pp. 100996-100996
Open Access | Times Cited: 15
Salih Gündüz, Umut Uğurlu, İlkay Öksüz
Sustainable Energy Grids and Networks (2023) Vol. 34, pp. 100996-100996
Open Access | Times Cited: 15
Accurate combination forecasting of wave energy based on multiobjective optimization and fuzzy information granulation
Yuqi Dong, Jianzhou Wang, Rui Wang, et al.
Journal of Cleaner Production (2022) Vol. 386, pp. 135772-135772
Closed Access | Times Cited: 19
Yuqi Dong, Jianzhou Wang, Rui Wang, et al.
Journal of Cleaner Production (2022) Vol. 386, pp. 135772-135772
Closed Access | Times Cited: 19
Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue
Paweł Pijarski, Adrian Belowski
Energies (2024) Vol. 17, Iss. 2, pp. 516-516
Open Access | Times Cited: 4
Paweł Pijarski, Adrian Belowski
Energies (2024) Vol. 17, Iss. 2, pp. 516-516
Open Access | Times Cited: 4