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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:

Net-load forecasting of renewable energy systems using multi-input LSTM fuzzy and discrete wavelet transform
Mohammad Jafar Mokarram, Reza Rashiditabar, Mohsen Gitizadeh, et al.
Energy (2023) Vol. 275, pp. 127425-127425
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
Sinvaldo Rodrigues Moreno, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Energy (2024) Vol. 292, pp. 130493-130493
Closed Access | Times Cited: 45
A multi-energy loads forecasting model based on dual attention mechanism and multi-scale hierarchical residual network with gated recurrent unit
Wenhao Chen, Rong Fei, Chuan Lin
Energy (2025) Vol. 320, pp. 134975-134975
Closed Access | Times Cited: 1
Daily average load demand forecasting using LSTM model based on historical load trends
Rashmi Bareth, Anamika Yadav, Shubhrata Gupta, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 5, pp. 952-962
Open Access | Times Cited: 7
Multi-market P2P trading of cooling–heating-power-hydrogen integrated energy systems: An equilibrium-heuristic online prediction optimization approach
Rongquan Zhang, Siqi Bu, Gangqiang Li
Applied Energy (2024) Vol. 367, pp. 123352-123352
Closed Access | Times Cited: 7
A novel prediction model for integrated district energy system based on secondary decomposition and artificial rabbits optimization
Yan Guo, Qichao Tang, Jo Darkwa, et al.
Energy and Buildings (2024) Vol. 310, pp. 114106-114106
Closed Access | Times Cited: 5
Spatio–temporal graph hierarchical learning framework for metro passenger flow prediction across stations and lines
Hongtao Li, Wen-jie Fu, Haina Zhang, et al.
Knowledge-Based Systems (2025), pp. 113132-113132
Closed Access
Smart grid enterprise decision-making and economic benefit analysis based on LSTM-GAN and edge computing algorithm
Ping Yang, Shichao Li, Shanyong Qin, et al.
Alexandria Engineering Journal (2024) Vol. 104, pp. 314-327
Open Access | Times Cited: 4
TFMSNet: A time series forecasting framework with time–frequency analysis and multi-scale processing
Xin Song, Xianglong Zhang, Wang Tian, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110260-110260
Closed Access
Day-Ahead Net Load Forecasting for Renewable Integrated Buildings Using XGBoost
Spencer Kerkau, Saeed Sepasi, Harun Or Rashid Howlader, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1518-1518
Open Access
A novel probabilistic gradient boosting model with multi-approach feature selection and iterative seasonal trend decomposition for short-term load forecasting
Priyesh Saini, S. K. Parida
Energy (2024) Vol. 294, pp. 130975-130975
Closed Access | Times Cited: 3
Ultrasonic assessment of cement-stabilized soils: Deep learning experimental results
Janusz Kozubal, Tomasz Kania, Ahmad S. Tarawneh, et al.
Measurement (2023) Vol. 223, pp. 113793-113793
Open Access | Times Cited: 8
An extended neural ordinary differential equation network with grey system and its applications
Fangxue Zhang, Xinping Xiao, Mingyun Gao
Neurocomputing (2024) Vol. 576, pp. 127343-127343
Closed Access | Times Cited: 2
Geographic information system‐based prediction of solar power plant production using deep neural networks
Marzieh Mokarram, Jamshid Aghaei, Mohammad Jafar Mokarram, et al.
IET Renewable Power Generation (2023) Vol. 17, Iss. 10, pp. 2663-2678
Open Access | Times Cited: 6
Thermal power plants pollution assessment based on deep neural networks, remote sensing, and GIS: A real case study in Iran
Marzieh Mokarram, Mohammad Jafar Mokarram, Arsalan Najafi
Marine Pollution Bulletin (2023) Vol. 192, pp. 115069-115069
Closed Access | Times Cited: 5
Using machine learning to predict processes and morphometric features of watershed
Marzieh Mokarram, Hamid Reza Pourghasemi, John P. Tiefenbacher
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
PSGformer: A novel multivariate net load forecasting model for the smart grid
Qingyong Zhang, Shiyang Zhou, Bingrong Xu, et al.
Journal of Computational Science (2024) Vol. 78, pp. 102288-102288
Closed Access | Times Cited: 1
A reinforcement learning scheduling method for power system based on data-driven pretraining
Hao Zhang, Tianbo Zhu, Xu Du, et al.
(2024), pp. 224-224
Closed Access | Times Cited: 1
Net Load Forecasting Using LSTM_OOA Model
Anshuman Kakati, Sharad Intodia, Chandransh Singh, et al.
(2024), pp. 01-06
Closed Access | Times Cited: 1
A novel green learning artificial intelligence model for regional electrical load prediction
Hao-Hsuan Huang, Yun-Hsun Huang
Expert Systems with Applications (2024) Vol. 256, pp. 124907-124907
Closed Access | Times Cited: 1
Predicting wind turbine energy production with deep learning methods in GIS: A study on HAWTs and VAWTs
Marzieh Mokarram, Tam Minh Pham
Sustainable Energy Technologies and Assessments (2024) Vol. 72, pp. 104070-104070
Closed Access | Times Cited: 1
A Performance Comparison of Neural Networks and Fuzzy Systems for Time Series Forecasting
Jeong Hee Woong
Journal of Machine and Computing (2024), pp. 94-104
Open Access
Model based Transfer Learning for Efficient Short-term Load Forecasting Model Training
Bozhen Jiang, Hongyuan Yang, Yidi Wang, et al.
Authorea (Authorea) (2024)
Open Access
Research on Short Term Power Load Forecasting Based on Wavelet and BiLSTM
Rongyang Liao, Juhui Ren, Chunlei Ji
(2024), pp. 53-65
Closed Access
Assessing the impact of marine renewable energy in Portugal: an analysis based on ACO-TCN-attention
Haoyan Song, Jingran Gao
Frontiers in Energy Research (2024) Vol. 12
Open Access
Analyzing the Performance of Direct and Indirect Net Load Forecasting Strategies Under Varying Penetration Levels of PV and Wind Power
Gamal Aburiyana, Hamed H. Aly, Timothy Little
(2024), pp. 1-5
Closed Access
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