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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:

Long-term system load forecasting based on data-driven linear clustering method
Yiyan Li, Dong Han, Zheng Yan
Journal of Modern Power Systems and Clean Energy (2017) Vol. 6, Iss. 2, pp. 306-316
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
Tanveer Ahmad, Hongcai Zhang, Biao Yan
Sustainable Cities and Society (2020) Vol. 55, pp. 102052-102052
Closed Access | Times Cited: 368
A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models
Abdullah Al Mamun, Md. Sohel, Naeem Mohammad, et al.
IEEE Access (2020) Vol. 8, pp. 134911-134939
Open Access | Times Cited: 254
Load Forecasting Techniques and Their Applications in Smart Grids
Hany Habbak, Mohamed Mahmoud, Khaled Metwally, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1480-1480
Open Access | Times Cited: 93
Review of Service Restoration for Distribution Networks
Feifan Shen, Qiuwei Wu, Xue Yusheng
Journal of Modern Power Systems and Clean Energy (2020) Vol. 8, Iss. 1, pp. 1-14
Open Access | Times Cited: 74
Empirical Mode Decomposition based Multi-objective Deep Belief Network for short-term power load forecasting
Chaodong Fan, Changkun Ding, Jinhua Zheng, et al.
Neurocomputing (2020) Vol. 388, pp. 110-123
Closed Access | Times Cited: 72
Multi-source transfer learning guided ensemble LSTM for building multi-load forecasting
Chao Peng, Yifan Tao, Zhipeng Chen, et al.
Expert Systems with Applications (2022) Vol. 202, pp. 117194-117194
Closed Access | Times Cited: 54
LSTM enhanced by dual-attention-based encoder-decoder for daily peak load forecasting
Kedong Zhu, Yaping Li, Wenbo Mao, et al.
Electric Power Systems Research (2022) Vol. 208, pp. 107860-107860
Closed Access | Times Cited: 45
Probabilistic Residential Load Forecasting Based on Micrometeorological Data and Customer Consumption Pattern
Lilin Cheng, Haixiang Zang, Yan Xu, et al.
IEEE Transactions on Power Systems (2021) Vol. 36, Iss. 4, pp. 3762-3775
Closed Access | Times Cited: 51
Long-Term Energy and Peak Power Demand Forecasting Based on Sequential-XGBoost
Tingze Zhang, Xinan Zhang, Osaka Rubasinghe, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 2, pp. 3088-3104
Closed Access | Times Cited: 17
A hybrid prediction model based on pattern sequence-based matching method and extreme gradient boosting for holiday load forecasting
Kedong Zhu, Jian Geng, Ke Wang
Electric Power Systems Research (2020) Vol. 190, pp. 106841-106841
Closed Access | Times Cited: 39
A state-of-the-art comparative review of load forecasting methods: Characteristics, perspectives, and applications
Mahmudul Hasan, Zannatul Mifta, Sumaiya Janefar Papiya, et al.
Energy Conversion and Management X (2025), pp. 100922-100922
Open Access
Smart Grids Data Analysis: A Systematic Mapping Study
Bruno Rossi, Stanislav Chren
IEEE Transactions on Industrial Informatics (2019) Vol. 16, Iss. 6, pp. 3619-3639
Open Access | Times Cited: 35
The Flexible Smart Traction Power Supply System and Its Hierarchical Energy Management Strategy
Yichen Ying, Qiujiang Liu, Mingli Wu, et al.
IEEE Access (2021) Vol. 9, pp. 64127-64141
Open Access | Times Cited: 29
A learning framework based on weighted knowledge transfer for holiday load forecasting
Pan Zeng, Sheng Chang, Min Jin
Journal of Modern Power Systems and Clean Energy (2018) Vol. 7, Iss. 2, pp. 329-339
Open Access | Times Cited: 34
An Ultrashort-Term Net Load Forecasting Model Based on Phase Space Reconstruction and Deep Neural Network
Fei Mei, Qingliang Wu, Tian Shi, et al.
Applied Sciences (2019) Vol. 9, Iss. 7, pp. 1487-1487
Open Access | Times Cited: 33
Application and prospect of artificial intelligence in smart grid
Jian Jiao
IOP Conference Series Earth and Environmental Science (2020) Vol. 510, Iss. 2, pp. 022012-022012
Open Access | Times Cited: 28
The Short‐Term Load Forecasting for Special Days Based on Bagged Regression Trees in Qingdao, China
Huanhe Dong, Ya Gao, Yong Fang, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 21
A novel linear time clustering using heuristically improved mrk-medoids based on modified squirrel search algorithm
Digvijay Puri, Deepak Gupta
Australian Journal of Electrical & Electronics Engineering (2024) Vol. 21, Iss. 4, pp. 358-373
Closed Access | Times Cited: 2
H-mrk-means: Enhanced Heuristic mrk-means for Linear Time Clustering of Big Data Using Hybrid Meta-heuristic Algorithm
Digvijay Puri, Deepak Gupta
Journal of Information & Knowledge Management (2024) Vol. 23, Iss. 04
Closed Access | Times Cited: 2
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: 2
Hybrid LSTM–BPNN-to-BPNN Model Considering Multi-Source Information for Forecasting Medium- and Long-Term Electricity Peak Load
Bingjie Jin, Guihua Zeng, Zhilin Lu, et al.
Energies (2022) Vol. 15, Iss. 20, pp. 7584-7584
Open Access | Times Cited: 12
Natural Disaster Prediction by Using Image Based Deep Learning and Machine Learning
Angela Maria Vinod, D.VENKATESH D.VENKATESH, Dishti Kundra, et al.
Lecture notes in networks and systems (2021), pp. 56-66
Closed Access | Times Cited: 13
Adaptive Optimal Greedy Clustering-Based Monthly Electricity Consumption Forecasting Method
Yuqing Wang, Zhiyang Fu, Fei Wang, et al.
IEEE Transactions on Industry Applications (2022) Vol. 58, Iss. 6, pp. 7881-7891
Closed Access | Times Cited: 9
Bidirectional analysis model of green investment and carbon emission based on LSTM neural network
Yiguo Hu
Thermal Science (2023) Vol. 27, Iss. 2 Part B, pp. 1405-1415
Open Access | Times Cited: 5
Medium- and Long-Term Trading Strategies for Large Electricity Retailers in China’s Electricity Market
Ting Lu, Weige Zhang, Yunjia Wang, et al.
Energies (2022) Vol. 15, Iss. 9, pp. 3342-3342
Open Access | Times Cited: 8
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