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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:

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

Showing 1-25 of 41 citing articles:

Review of Family-Level Short-Term Load Forecasting and Its Application in Household Energy Management System
Ping Ma, Shuhui Cui, Mingshuai Chen, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5809-5809
Open Access | Times Cited: 46
A review on integration of surging plug-in electric vehicles charging in energy-flexible buildings: Impacts analysis, collaborative management technologies, and future perspective
Wenke Zou, Yongjun Sun, Dian-ce Gao, et al.
Applied Energy (2022) Vol. 331, pp. 120393-120393
Closed Access | Times Cited: 60
Current status, challenges, and prospects of data-driven urban energy modeling: A review of machine learning methods
Prajowal Manandhar, Hasan Rafiq, Edwin Rodríguez-Ubiñas
Energy Reports (2023) Vol. 9, pp. 2757-2776
Open Access | Times Cited: 30
TFEformer: A new temporal frequency ensemble transformer for day-ahead photovoltaic power prediction
Chengming Yu, Ji Qiao, Chao Chen, et al.
Journal of Cleaner Production (2024) Vol. 448, pp. 141690-141690
Closed Access | Times Cited: 13
Optimized short-term load forecasting in residential buildings based on deep learning methods for different time horizons
Arghavan Irankhah, Mohammad Hossein Yaghmaee, Sara Ershadi-Nasab
Journal of Building Engineering (2024) Vol. 84, pp. 108505-108505
Closed Access | Times Cited: 8
A CNN-Sequence-to-Sequence network with attention for residential short-term load forecasting
Mosbah Aouad, Hazem Hajj, Khaled Shaban, et al.
Electric Power Systems Research (2022) Vol. 211, pp. 108152-108152
Closed Access | Times Cited: 35
Efficient deep generative model for short-term household load forecasting using non-intrusive load monitoring
Antoine Langevin, Mohamed Cheriet, Ghyslain Gagnon
Sustainable Energy Grids and Networks (2023) Vol. 34, pp. 101006-101006
Closed Access | Times Cited: 21
A review of distribution network applications based on smart meter data analytics
Christos L. Athanasiadis, Theofilos A. Papadopoulos, Georgios C. Kryonidis, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 191, pp. 114151-114151
Closed Access | Times Cited: 18
Short-term output prediction of wind-photovoltaic power based on time-frequency decomposition
Yangfan Zhang, Xuejiao Fu, Yaohan Wang, et al.
Frontiers in Energy Research (2025) Vol. 12
Open Access
Energy management of the grid-connected residential photovoltaic-battery system using model predictive control coupled with dynamic programming
Bin Zou, Jinqing Peng, Rongxin Yin, et al.
Energy and Buildings (2022) Vol. 279, pp. 112712-112712
Closed Access | Times Cited: 23
Interpretable LSTM Based on Mixture Attention Mechanism for Multi-Step Residential Load Forecasting
Chongchong Xu, Chaojie Li, Xiaojun Zhou
Electronics (2022) Vol. 11, Iss. 14, pp. 2189-2189
Open Access | Times Cited: 22
A Load Forecasting Framework Considering Hybrid Ensemble Deep Learning With Two-Stage Load Decomposition
Sisi Zhou, Yong Li, Yixiu Guo, et al.
IEEE Transactions on Industry Applications (2024) Vol. 60, Iss. 3, pp. 4568-4582
Closed Access | Times Cited: 4
Short-term individual residential load forecasting using an enhanced machine learning-based approach based on a feature engineering framework: A comparative study with deep learning methods
Ali Forootani, Mohammad Rastegar, Ashkan Sami
Electric Power Systems Research (2022) Vol. 210, pp. 108119-108119
Closed Access | Times Cited: 21
A novel short-term electrical load forecasting framework with intelligent feature engineering
Binbin Yu, Jianjing Li, Che Liu, et al.
Applied Energy (2022) Vol. 327, pp. 120089-120089
Closed Access | Times Cited: 19
Short-Term Residential Load Forecasting With Baseline-Refinement Profiles and Bi-Attention Mechanism
Jiang‐Wen Xiao, Peng Liu, Hongliang Fang, et al.
IEEE Transactions on Smart Grid (2023) Vol. 15, Iss. 1, pp. 1052-1062
Closed Access | Times Cited: 10
Multi-task deep learning for large-scale buildings energy management
Rui Wang, Rakiba Rayhana, Majid Gholami, et al.
Energy and Buildings (2024) Vol. 307, pp. 113964-113964
Closed Access | Times Cited: 3
Stochastic modelling of flexible load characteristics of split-type air conditioners using grey-box modelling and random forest method
Zhihao Jiang, Jinqing Peng, Rongxin Yin, et al.
Energy and Buildings (2022) Vol. 273, pp. 112370-112370
Closed Access | Times Cited: 17
Residential load forecasting based on electricity consumption pattern clustering
Kun Yu, Jiawei Cao, Xingying Chen, et al.
Frontiers in Energy Research (2023) Vol. 10
Open Access | Times Cited: 9
Short-Term Load Forecasting of Electricity Demand for the Residential Sector Based on Modelling Techniques: A Systematic Review
Filipe Rodrigues, Carlos Cardeira, J. M. F. Calado, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4098-4098
Open Access | Times Cited: 8
MSGCN-ISTL: A multi-scaled self-attention-enhanced graph convolutional network with improved STL decomposition for probabilistic load forecasting
Yilei Qiu, Zhou He, Wenyu Zhang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121737-121737
Closed Access | Times Cited: 8
Federated learning for interpretable short-term residential load forecasting in edge computing network
Chongchong Xu, Guo Chen, Chaojie Li
Neural Computing and Applications (2022) Vol. 35, Iss. 11, pp. 8561-8574
Closed Access | Times Cited: 12
Short-Term Load Forecasting of Electricity Demand for the Residential Sector Based on Modelling Techniques: A Systematic Review
F. Martins Rodrigues, Carlos Cardeira, J. M. F. Calado, et al.
(2023)
Open Access | Times Cited: 7
Exploiting Intraday Decompositions in Realized Volatility Forecasting: A Forecast Reconciliation Approach
Massimiliano Caporin, Tommaso Di Fonzo, Daniele Girolimetto
Journal of Financial Econometrics (2024) Vol. 22, Iss. 5, pp. 1759-1784
Open Access | Times Cited: 2
A Hybrid Approach for Hierarchical Forecasting of Industrial Electricity Consumption in Brazil
Marlon Mesquita Lopes Cabreira, Felipe Leite Coelho da Silva, Josiane da Silva Cordeiro, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3200-3200
Open Access | Times Cited: 2
GA-BiLSTM: an intelligent energy prediction and optimization approach for individual home appliances
Simarjit Kaur, Anju Bala, Anshu Parashar
Evolving Systems (2023) Vol. 15, Iss. 2, pp. 413-427
Closed Access | Times Cited: 6
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