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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:

Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm
Azim Heydari, Meysam Majidi Nezhad, Elmira Pirshayan, et al.
Applied Energy (2020) Vol. 277, pp. 115503-115503
Closed Access | Times Cited: 160

Showing 1-25 of 160 citing articles:

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: 182
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
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Ruobin Gao, Liang Du, Ponnuthurai Nagaratnam Suganthan, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117784-117784
Open Access | Times Cited: 74
Artificial intelligence applications for microgrids integration and management of hybrid renewable energy sources
M. Talaat, M.H. Elkholy, Adel Alblawi, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10557-10611
Open Access | Times Cited: 65
Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism
Zhihao Shang, Yao Chen, Yanhua Chen, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119878-119878
Closed Access | Times Cited: 43
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: 19
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
Recent progress in sustainable energy-efficient technologies and environmental impacts on energy systems
Milan Vujanović, Qiuwang Wang, Mousa S. Mohsen, et al.
Applied Energy (2020) Vol. 283, pp. 116280-116280
Closed Access | Times Cited: 99
Experimental analysis of innovative designs for solar still desalination technologies; An in-depth technical and economic assessment
Ali Sohani, Siamak Hoseinzadeh, Kiana Berenjkar
Journal of Energy Storage (2020) Vol. 33, pp. 101862-101862
Open Access | Times Cited: 98
Electricity Price Forecasting Based on Self-Adaptive Decomposition and Heterogeneous Ensemble Learning
Matheus Henrique Dal Molin Ribeiro, Stéfano Frizzo Stefenon, José Donizetti de Lima, et al.
Energies (2020) Vol. 13, Iss. 19, pp. 5190-5190
Open Access | Times Cited: 75
Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting
Yanmei Huang, Najmul Hasan, Changrui Deng, et al.
Energy (2021) Vol. 239, pp. 122245-122245
Open Access | Times Cited: 75
Electrical Energy Prediction in Residential Buildings for Short-Term Horizons Using Hybrid Deep Learning Strategy
Zulfiqar Ahmad Khan, Amin Ullah, Waseem Ullah, et al.
Applied Sciences (2020) Vol. 10, Iss. 23, pp. 8634-8634
Open Access | Times Cited: 74
Electrical Load Forecasting Models for Different Generation Modalities: A Review
Abdul Azeem, Idris Ismail, Syed Muslim Jameel, et al.
IEEE Access (2021) Vol. 9, pp. 142239-142263
Open Access | Times Cited: 71
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 67
Advanced energy technologies, methods, and policies to support the sustainable development of energy, water and environment systems
Annamaria Buonomano, Giovanni Barone, Cesare Forzano
Energy Reports (2022) Vol. 8, pp. 4844-4853
Open Access | Times Cited: 55
Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme
Ping Jiang, Ying Nie, Jianzhou Wang, et al.
Energy Economics (2022) Vol. 117, pp. 106471-106471
Closed Access | Times Cited: 51
Short-term electricity price forecasting based on similarity day screening, two-layer decomposition technique and Bi-LSTM neural network
Keke Wang, Min Yu, Dongxiao Niu, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110018-110018
Closed Access | Times Cited: 39
Load forecasting via Grey Model-Least Squares Support Vector Machine model and spatial-temporal distribution of electric consumption intensity
Zhenyu Zhao, Yao Zhang, Yujia Yang, et al.
Energy (2022) Vol. 255, pp. 124468-124468
Closed Access | Times Cited: 38
Forecasting natural gas consumption with multiple seasonal patterns
Jia Ding, Yuxuan Zhao, Junyang Jin
Applied Energy (2023) Vol. 337, pp. 120911-120911
Closed Access | Times Cited: 27
Short-term load forecasting based on CEEMDAN and dendritic deep learning
Keyu Song, Yang Yu, Tengfei Zhang, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111729-111729
Closed Access | Times Cited: 11
Price forecasting in the Ontario electricity market via TriConvGRU hybrid model: Univariate vs. multivariate frameworks
Behdad Ehsani, Pierre‐Olivier Pineau, Laurent Charlin
Applied Energy (2024) Vol. 359, pp. 122649-122649
Closed Access | Times Cited: 10
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
A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption
J. R. S. Iruela, L. G. B. Ruiz, D. Criado-Ramón, et al.
Applied Soft Computing (2024) Vol. 160, pp. 111711-111711
Closed Access | Times Cited: 8
Data-driven real-time price-based demand response for industrial facilities energy management
Renzhi Lu, Ruichang Bai, Yuan Huang, et al.
Applied Energy (2020) Vol. 283, pp. 116291-116291
Open Access | Times Cited: 69
Day-ahead city natural gas load forecasting based on decomposition-fusion technique and diversified ensemble learning model
Fengyun Li, Haofeng Zheng, Xingmei Li, et al.
Applied Energy (2021) Vol. 303, pp. 117623-117623
Closed Access | Times Cited: 48
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