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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:

Medium-term heat load prediction for an existing residential building based on a wireless on-off control system
Jihao Gu, Jin Wang, Chengying Qi, et al.
Energy (2018) Vol. 152, pp. 709-718
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review
Amir Mosavi, Mohsen Salimi, Sina Ardabili, et al.
Energies (2019) Vol. 12, Iss. 7, pp. 1301-1301
Open Access | Times Cited: 418
A review of the-state-of-the-art in data-driven approaches for building energy prediction
Ying Sun, Fariborz Haghighat, Benjamin C. M. Fung
Energy and Buildings (2020) Vol. 221, pp. 110022-110022
Closed Access | Times Cited: 378
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
Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network
Yongli Wang, Yudong Wang, Yujing Huang, et al.
Applied Energy (2019) Vol. 251, pp. 113410-113410
Closed Access | Times Cited: 203
Multi-step ahead forecasting of heat load in district heating systems using machine learning algorithms
Puning Xue, Yi Jiang, Zhigang Zhou, et al.
Energy (2019) Vol. 188, pp. 116085-116085
Closed Access | Times Cited: 166
Building energy prediction using artificial neural networks: A literature survey
Chujie Lu, Sihui Li, Zhengjun Lu
Energy and Buildings (2021) Vol. 262, pp. 111718-111718
Closed Access | Times Cited: 146
Multienergy Networks Analytics: Standardized Modeling, Optimization, and Low Carbon Analysis
Wujing Huang, Ning Zhang, Yaohua Cheng, et al.
Proceedings of the IEEE (2020) Vol. 108, Iss. 9, pp. 1411-1436
Closed Access | Times Cited: 96
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
Prediction of residential district heating load based on machine learning: A case study
Ziqing Wei, Tingwei Zhang, Yue Bao, et al.
Energy (2021) Vol. 231, pp. 120950-120950
Closed Access | Times Cited: 70
Hourly Heat Load Prediction Model Based on Temporal Convolutional Neural Network
Jiancai Song, Guixiang Xue, Xuhua Pan, et al.
IEEE Access (2020) Vol. 8, pp. 16726-16741
Open Access | Times Cited: 69
Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review
Zeyu Wang, Lisha Xia, Hongping Yuan, et al.
Journal of Building Engineering (2022) Vol. 58, pp. 105028-105028
Closed Access | Times Cited: 49
Data augmentation for improving heating load prediction of heating substation based on TimeGAN
Yunfei Zhang, Zhihua Zhou, Junwei Liu, et al.
Energy (2022) Vol. 260, pp. 124919-124919
Closed Access | Times Cited: 39
Probabilistic state estimation in district heating grids using deep neural network
Gaowei Yi, Xinlin Zhuang, Yan Li
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101353-101353
Closed Access | Times Cited: 8
A generic prediction interval estimation method for quantifying the uncertainties in ultra-short-term building cooling load prediction
Chaobo Zhang, Yang Zhao, Cheng Fan, et al.
Applied Thermal Engineering (2020) Vol. 173, pp. 115261-115261
Closed Access | Times Cited: 58
Study on energy efficiency and economic performance of district heating system of energy saving reconstruction with photovoltaic thermal heat pump
Peiyuan Mi, Jili Zhang, Youhua Han, et al.
Energy Conversion and Management (2021) Vol. 247, pp. 114677-114677
Closed Access | Times Cited: 45
A dynamic control strategy of district heating substations based on online prediction and indoor temperature feedback
Chunhua Sun, Jiali Chen, Shanshan Cao, et al.
Energy (2021) Vol. 235, pp. 121228-121228
Closed Access | Times Cited: 43
A daily carbon emission prediction model combining two-stage feature selection and optimized extreme learning machine
Feng Kong, Jianbo Song, Zhongzhi Yang
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 58, pp. 87983-87997
Closed Access | Times Cited: 28
Performance study on photovoltaic thermal heat pump system in typical climate zones
Peiyuan Mi, Jili Zhang, Youhua Han, et al.
Applied Thermal Engineering (2024) Vol. 243, pp. 122530-122530
Closed Access | Times Cited: 6
A novel combined model for heat load prediction in district heating systems
Yanmin Wang, Zhiwei Li, Junjie Liu, et al.
Applied Thermal Engineering (2023) Vol. 227, pp. 120372-120372
Closed Access | Times Cited: 15
Building electrical consumption patterns forecasting based on a novel hybrid deep learning model
Nasser Shahsavari-Pour, Aghileh Heydari, Farshid Keynia, et al.
Results in Engineering (2025), pp. 104522-104522
Open Access
Heat Load Prediction of Building Rooms Using Only the Whole Building Data via Heat Allocation Approach
Xin Tan, Yahui Wang, Guoxin Sun, et al.
Journal of Thermal Science (2025)
Closed Access
Study on refined control and prediction model of district heating station based on support vector machine
Jianjuan Yuan, Chendong Wang, Zhihua Zhou
Energy (2019) Vol. 189, pp. 116193-116193
Closed Access | Times Cited: 41
Role of input features in developing data-driven models for building thermal demand forecast
Chao Wang, Xinyi Li, and Hailong Li
Energy and Buildings (2022) Vol. 277, pp. 112593-112593
Open Access | Times Cited: 21
An interval prediction method for quantifying the uncertainties of cooling load based on time classification
Fuxiang Dong, Jiangjiang Wang, Kangzhen Xie, et al.
Journal of Building Engineering (2022) Vol. 56, pp. 104739-104739
Closed Access | Times Cited: 20
A Shallow Neural Network Approach for the Short-Term Forecast of Hourly Energy Consumption
Andrea Manno, Emanuele Martelli, E. Amaldi
Energies (2022) Vol. 15, Iss. 3, pp. 958-958
Open Access | Times Cited: 19
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