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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 cooling and heating loads forecasting of building district energy system based on data-driven models
Hanfei Yu, Fan Zhong, Yuji Du, et al.
Energy and Buildings (2023) Vol. 298, pp. 113513-113513
Closed Access | Times Cited: 25

Showing 25 citing articles:

A novel heat load prediction model of district heating system based on hybrid whale optimization algorithm (WOA) and CNN-LSTM with attention mechanism
Xuyang Cui, Junda Zhu, Lifu Jia, et al.
Energy (2024), pp. 133536-133536
Closed Access | Times Cited: 11
ISSA-LSTM: A new data-driven method of heat load forecasting for building air conditioning
Mengran Zhou, Ling Wang, Feng Hu, et al.
Energy and Buildings (2024) Vol. 321, pp. 114698-114698
Closed Access | Times Cited: 10
Short-term integrated forecasting method for wind power, solar power, and system load based on variable attention mechanism and multi-task learning
Han Wang, Jie Yan, Jiawei Zhang, et al.
Energy (2024) Vol. 304, pp. 132188-132188
Closed Access | Times Cited: 7
A novel prediction model for integrated district energy system based on secondary decomposition and artificial rabbits optimization
Yan Guo, Qichao Tang, Jo Darkwa, et al.
Energy and Buildings (2024) Vol. 310, pp. 114106-114106
Closed Access | Times Cited: 5
Optimization of initial main steam pressure under ultra-low loads of a steam turbine based on machine learning
Di Liu, Xuemin Ye, Yu Zheng, et al.
Energy (2025), pp. 134512-134512
Closed Access
Short-term building electricity load forecasting with a hybrid deep learning method
Wenhao Chen, Rong Fei, Chuan Lin
Energy and Buildings (2025), pp. 115342-115342
Closed Access
Explainable multi-step heating load forecasting: Using SHAP values and temporal attention mechanisms for enhanced interpretability
Alexander Neubauer, Stefan Brandt, Martin Kriegel
Energy and AI (2025), pp. 100480-100480
Open Access
Analysis of occupant thermal comfort and energy-saving potential based on cooling behaviors in residential buildings: A case study of Shanghai
Junmeng Lyu, Yuxin Yang, Dayi Lai, et al.
Building and Environment (2025), pp. 112792-112792
Closed Access
A comprehensive review and future research directions of ensemble learning models for predicting building energy consumption
Zeyu Wang, Yuelan Hong, Luying Huang, et al.
Energy and Buildings (2025), pp. 115589-115589
Closed Access
AI-Driven Short-Term Load Forecasting Enhanced by Clustering in Multi-Type University Buildings: Insights Across Building Types and Pandemic Phases
Yong-Lin Hu, Kai-Yun Lo, I-Yun Lisa Hsieh
Journal of Building Engineering (2025), pp. 112417-112417
Closed Access
A new method for dynamic load simulation of urban building complexes’ heating considering building level occupancy based on shoebox algorithm
Wenhao Zhou, Yaowen Chen, Yanfeng Liu, et al.
Building and Environment (2024) Vol. 261, pp. 111710-111710
Closed Access | Times Cited: 4
A review on hybrid physics and data-driven modeling methods applied in air source heat pump systems for energy efficiency improvement
Yanhua Guo, Ningbo Wang, Shuangquan Shao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 204, pp. 114804-114804
Closed Access | Times Cited: 4
A SVM based demand response capacity prediction model considering internal factors under composite program
Xiaodong Chen, Xinxin Ge, Rongfu Sun, et al.
Energy (2024) Vol. 300, pp. 131460-131460
Closed Access | Times Cited: 3
Predicting hourly heating load in district heating system based on the hybrid Bi-directional long short-term memory and temporal convolutional network model
Jiancai Song, Wen Li, Shuo Zhu, et al.
Journal of Cleaner Production (2024) Vol. 463, pp. 142769-142769
Closed Access | Times Cited: 3
Modularized neural network incorporating physical priors for future building energy modeling
Zixin Jiang, Bing Dong
Patterns (2024) Vol. 5, Iss. 8, pp. 101029-101029
Open Access | Times Cited: 3
Multi-point temperature or humidity prediction for office building indoor environment based on CGC-BiLSTM deep neural network
Tianyi Zhao, Ben Jiang, Yu Li, et al.
Building and Environment (2024) Vol. 267, pp. 112259-112259
Closed Access | Times Cited: 3
How to better match predicted loads of district heating system: A novel control approach focused on coupling source and network by data-driven methods
Junhong Yang, Mengbo Peng, Tong Zhao, et al.
Applied Thermal Engineering (2024) Vol. 249, pp. 123434-123434
Closed Access | Times Cited: 2
Short-term cooling load prediction for central air conditioning systems with small sample based on permutation entropy and temporal convolutional network
Ning He, Lijun Zhang, Cheng Qian, et al.
Energy and Buildings (2024) Vol. 310, pp. 114115-114115
Closed Access | Times Cited: 2
Short-term thermal parameter prediction of building energy system based on MIE-JANET method
Ruifan Zheng, Shengyuan Zhong, Rendong Shen, et al.
Energy Conversion and Management (2024) Vol. 314, pp. 118664-118664
Closed Access | Times Cited: 2
Thermal Request Optimization of a Smart District Heating System
Mehmet Berk Karasu, İhsan Yanıkoğlu, Aykut Aykut, et al.
Energy and Buildings (2024), pp. 114841-114841
Closed Access | Times Cited: 2
HVAC Load Forecasting Based on the CEEMDAN-Conv1D-BiLSTM-AM Model
Zhicheng Xiao, Lijuan Yu, Huajun Zhang, et al.
Mathematics (2023) Vol. 11, Iss. 22, pp. 4630-4630
Open Access | Times Cited: 3
Improved energy management of chiller system with AI-based regression
Fu-Wing Yu, W.T. Ho, Chak-Fung Jeff Wong
Applied Soft Computing (2023) Vol. 150, pp. 111091-111091
Closed Access | Times Cited: 3
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
Optimizing Heat Pump Operation of Residential Buildings Using Calibrated R-C and Deep Learning Models and Electricity Costs Forecasts
Pablo Hernández-Cruz, C. Escudero, Moisés Cordeiro-Costas, et al.
International Sustainable Energy Conference - Proceedings (2024) Vol. 1
Open Access
Short-Term Energy Forecasting to Improve the Estimation of Demand Response Baselines in Residential Neighborhoods: Deep Learning vs. Machine Learning
Abdo Abdullah Ahmed Gassar
Buildings (2024) Vol. 14, Iss. 7, pp. 2242-2242
Open Access
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