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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 load forecasting for microgrid energy management system using hybrid SPM-LSTM
Arezoo Jahani, Kazem Zare, Leyli Mohammad Khanli
Sustainable Cities and Society (2023) Vol. 98, pp. 104775-104775
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability
Zhirui Tian, Weican Liu, Wenqian Jiang, et al.
Energy (2024) Vol. 293, pp. 130666-130666
Closed Access | Times Cited: 34
Graph Convolutional Networks based short-term load forecasting: Leveraging spatial information for improved accuracy
Haris Mansoor, Muhammad Shuzub Gull, Huzaifa Rauf, et al.
Electric Power Systems Research (2024) Vol. 230, pp. 110263-110263
Closed Access | Times Cited: 6
Energy optimization management of microgrid using improved soft actor-critic algorithm
Zhiwen Yu, Wenjie Zheng, Kaiwen Zeng, et al.
International Journal of Renewable Energy Development (2024) Vol. 13, Iss. 2, pp. 329-339
Open Access | Times Cited: 5
Day-ahead load forecast based on Conv2D-GRU_SC aimed to adapt to steep changes in load
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 302, pp. 131814-131814
Closed Access | Times Cited: 4
The balance issue of the proportion between new energy and traditional thermal power: An important issue under today's low-carbon goal in developing countries
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Renewable Energy (2024) Vol. 231, pp. 121018-121018
Closed Access | Times Cited: 4
Pattern Shared Vision Refinement for Enhancing Collaboration and Decision-Making in Government Software Projects
Mohammad Daud Haiderzai, Pavle Dakić, Igor Stupavský, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 334-334
Open Access
TDCN: A novel temporal depthwise convolutional network for short-term load forecasting
Mingping Liu, C. Xia, Yuxin Xia, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 165, pp. 110512-110512
Open Access
Optimal Scheduling of Biomass-Hybrid Microgrids with Energy Storage: An LSTM-PMOEVO Framework for Uncertain Environments
Zichong Wang, Yingying Zheng
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2702-2702
Open Access
A robust energy flow predictor based on CNN-LSTM for prosumer-oriented microgrids considering changes in biogas generation
Grzegorz Maślak, Przemysław Orłowski
Energy (2025), pp. 136050-136050
Closed Access
Deep convolutional neural networks for short-term multi-energy demand prediction of integrated energy systems
Corneliu Arsene, Alessandra Parisio
International Journal of Electrical Power & Energy Systems (2024) Vol. 160, pp. 110111-110111
Open Access | Times Cited: 3
An intelligent model for efficient load forecasting and sustainable energy management in sustainable microgrids
Rupesh Rayalu Onteru, Sandeep Vuddanti
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 3
Multi-Energy Load Prediction Method for Integrated Energy System Based on Fennec Fox Optimization Algorithm and Hybrid Kernel Extreme Learning Machine
Yang Shen, Deyi Li, Wenbo Wang
Entropy (2024) Vol. 26, Iss. 8, pp. 699-699
Open Access | Times Cited: 3
Performance analysis of machine learning based prediction models in assessing optimal operation of microgrid under uncertainty
Sukriti Patty, Tanmoy Malakar
Results in Control and Optimization (2024) Vol. 15, pp. 100407-100407
Open Access | Times Cited: 2
Research on optimization of improved short-term load composite forecasting model based on AM–CNN–Bi–LSTM
Xueyuan Zhao, Xiaoyu Ying, Jian Ge, et al.
AIP Advances (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 2
A hybrid Monte Carlo quantile EMD-LSTM method for satellite in-orbit temperature prediction and data uncertainty quantification
XU Ying-chun, Wen Yao, Xiaohu Zheng, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124875-124875
Closed Access | Times Cited: 1
Improved Bacterial Foraging Optimization Algorithm with Machine Learning-Driven Short-Term Electricity Load Forecasting: A Case Study in Peninsular Malaysia
Farah Anishah Zaini, Mohamad Fani Sulaima, Intan Azmira Wan Abdul Razak, et al.
Algorithms (2024) Vol. 17, Iss. 11, pp. 510-510
Open Access | Times Cited: 1
Energy management in networked microgrids: Leveraging predictive analytics for renewable sources
Nima Khosravi, Adel Oubelaid, Youcef Belkhier
Energy Conversion and Management X (2024), pp. 100828-100828
Open Access | Times Cited: 1
An Overview of Short-Term Load Forecasting for Electricity Systems Operational Planning: Machine Learning Methods and the Brazilian Experience
Giancarlo Áquila, Lucas Barros Scianni Morais, Victor Augusto Durães de Faria, et al.
Energies (2023) Vol. 16, Iss. 21, pp. 7444-7444
Open Access | Times Cited: 2
Enhancing Load Forecasting for Large Industrial Users Through Feature Preference and Error Correction
Zhaoguo Wang, Wenjie Li, Siteng Wang, et al.
IEEE Access (2024) Vol. 12, pp. 98647-98659
Open Access
Evaluation method of new energy carrying capacity based on LSTM algorithm
Wei Guo, Shutao Wang, Xudong Chen, et al.
(2024), pp. 22-25
Closed Access
Leveraging Weather Parameters in Generative Adversarial Networks for Energy Consumption Prediction
More Raju, Jella Komal Kumar, Kommana Supriya, et al.
(2024), pp. 1-5
Closed Access
Optimization of Power Dispatch in Island Microgrid Based on Linearization of Generation Cost Function
Thai An Nguyen, Trong Nghia Le, Huy Anh Quyen, et al.
(2024), pp. 294-298
Closed Access
A hybrid forecasting model for general hospital electricity consumption based on mixed signal decomposition
Anjun Zhao, Mengya Chen, Wei Quan, et al.
Energy and Buildings (2024) Vol. 325, pp. 115006-115006
Closed Access
Load forecasting of microgrid based on an adaptive cuckoo search optimization improved neural network
Liping Fan, Pengju Yang
Electronic Research Archive (2024) Vol. 32, Iss. 11, pp. 6364-6378
Open Access
Deep Learning Integration of Multi-Model Forecast Precipitation Considering Long Lead Times
Wei Fang, Hui Qin, Qian Lin, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4489-4489
Open Access
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