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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:

Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China
Xin Fu, Xiao‐Jun Zeng, Pengpeng Feng, et al.
Energy (2018) Vol. 165, pp. 76-89
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches
Cheng Fan, Da Yan, Fu Xiao, et al.
Building Simulation (2020) Vol. 14, Iss. 1, pp. 3-24
Open Access | Times Cited: 162
Comparison of clustering approaches for domestic electricity load profile characterisation - Implications for demand side management
Selin Yılmaz, Jonathan Chambers, M. Patel
Energy (2019) Vol. 180, pp. 665-677
Closed Access | Times Cited: 144
Review of low voltage load forecasting: Methods, applications, and recommendations
Stephen Haben, Siddharth Arora, Georgios Giasemidis, et al.
Applied Energy (2021) Vol. 304, pp. 117798-117798
Open Access | Times Cited: 92
DP-GMM clustering-based ensemble learning prediction methodology for dam deformation considering spatiotemporal differentiation
Wenlong Chen, Xiaoling Wang, Zhijian Cai, et al.
Knowledge-Based Systems (2021) Vol. 222, pp. 106964-106964
Closed Access | Times Cited: 49
A bottom-up short-term residential load forecasting approach based on appliance characteristic analysis and multi-task learning
Shouxiang Wang, Xinyu Deng, Haiwen Chen, et al.
Electric Power Systems Research (2021) Vol. 196, pp. 107233-107233
Closed Access | Times Cited: 41
A systematic review of building electricity use profile models
Xuyuan Kang, Jingjing An, Da Yan
Energy and Buildings (2022) Vol. 281, pp. 112753-112753
Closed Access | Times Cited: 30
Multi-dimensional data-based medium- and long-term power-load forecasting using double-layer CatBoost
Wen Xiang, Peng Xu, Junlong Fang, et al.
Energy Reports (2022) Vol. 8, pp. 8511-8522
Open Access | Times Cited: 29
Nowcasting the next hour of residential load using boosting ensemble machines
Ali Muqtadir, Бин Ли, Ying Zhou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A pattern recognition methodology for analyzing residential customers load data and targeting demand response applications
Amin Rajabi, Mohsen Eskandari, Mojtaba Jabbari Ghadi, et al.
Energy and Buildings (2019) Vol. 203, pp. 109455-109455
Open Access | Times Cited: 46
Graph convolutional network-based aggregated demand response baseline load estimation
Peng Tao, Fei Xu, Zengbo Dong, et al.
Energy (2022) Vol. 251, pp. 123847-123847
Closed Access | Times Cited: 27
Research on household energy demand patterns, data acquisition and influencing factors: A review
Ya‐Hui Chen, Yunze Li, Haihao Jiang, et al.
Sustainable Cities and Society (2023) Vol. 99, pp. 104916-104916
Closed Access | Times Cited: 13
Short-term prediction of integrated energy load aggregation using a bi-directional simple recurrent unit network with feature-temporal attention mechanism ensemble learning model
Yan Qin, Zhiying Lu, Hong Liu, et al.
Applied Energy (2023) Vol. 355, pp. 122159-122159
Closed Access | Times Cited: 13
Novel deep supervised ML models with feature selection approach for large-scale utilities and buildings short and medium-term load requirement forecasts
Tanveer Ahmad, Hongcai Zhang
Energy (2020) Vol. 209, pp. 118477-118477
Closed Access | Times Cited: 36
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
Data mining techniques for electricity customer characterization
Sérgio Ramos, João Soares, Samuel S. Cembranel, et al.
Procedia Computer Science (2021) Vol. 186, pp. 475-488
Open Access | Times Cited: 29
Smart-Meter Big Data for Load Forecasting: An Alternative Approach to Clustering
Negin Alemazkoor, Mazdak Tootkaboni, Roshanak Nateghi, et al.
IEEE Access (2022) Vol. 10, pp. 8377-8387
Open Access | Times Cited: 19
Clustering-based probability distribution model for monthly residential building electricity consumption analysis
Jieyan Xu, Xuyuan Kang, Zheng Chen, et al.
Building Simulation (2020) Vol. 14, Iss. 1, pp. 149-164
Closed Access | Times Cited: 28
Analyzing the elasticity and subsidy to reform the residential electricity tariffs in China
Boqiang Lin, Yao Wang
International Review of Economics & Finance (2020) Vol. 67, pp. 189-206
Closed Access | Times Cited: 24
Study on the distribution characteristics and uncertainty of multiple energy load patterns for building group to enhance demand side management
Guowen Zhou, Mingliang Bai, Xinyu Zhao, et al.
Energy and Buildings (2022) Vol. 263, pp. 112038-112038
Closed Access | Times Cited: 14
A hybrid short-term load forecasting model developed by factor and feature selection algorithms using improved grasshopper optimization algorithm and principal component analysis
Mesbaholdin Salami, Farzad Movahedi Sobhani, Mohammad Sadegh Ghazizadeh
Electrical Engineering (2019) Vol. 102, Iss. 1, pp. 437-460
Closed Access | Times Cited: 23
Saturated load forecasting based on clustering and logistic iterative regression
Renhai Feng, Yuanbiao Xue, Wei Wang, et al.
Electric Power Systems Research (2021) Vol. 202, pp. 107604-107604
Closed Access | Times Cited: 19
Exploring household natural gas consumption patterns and their influencing factors: An integrated clustering and econometric method
Lanlan Li, Huayang Ming, Weizhong Fu, et al.
Energy (2021) Vol. 224, pp. 120194-120194
Closed Access | Times Cited: 18
Evaluating the impacts of the increasing block tariffs on residential electricity consumption in China
Shuang Hu, Jiaxin He, Chenyao Yang
Sustainable Production and Consumption (2021) Vol. 29, pp. 180-187
Closed Access | Times Cited: 18
A novel approach for identifying customer groups for personalized demand-side management services using household socio-demographic data
Hanguan Wen, Xiufeng Liu, Ming Yang, et al.
Energy (2023) Vol. 286, pp. 129593-129593
Open Access | Times Cited: 7
Simulating appliance-level household electricity data: Accounting for residential behavior and usage patterns in China
Anjun Zhao, Mengya Chen, Junqi Yu, et al.
Journal of Building Engineering (2024) Vol. 92, pp. 109804-109804
Closed Access | Times Cited: 2
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