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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 novel building energy consumption prediction method using deep reinforcement learning with consideration of fluctuation points
Wei Jin, Qiming Fu, Jianping Chen, et al.
Journal of Building Engineering (2022) Vol. 63, pp. 105458-105458
Open Access | Times Cited: 24

Showing 24 citing articles:

Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms
Sadegh Afzal, Behrooz M. Ziapour, Afshar Shokri, et al.
Energy (2023) Vol. 282, pp. 128446-128446
Closed Access | Times Cited: 98
Predicting Daily Heating Energy Consumption in Residential Buildings through Integration of Random Forest Model and Meta-Heuristic Algorithms
Weiyan Xu, Jielei Tu, Ning Xu, et al.
Energy (2024) Vol. 301, pp. 131726-131726
Closed Access | Times Cited: 16
Constrained Deep Reinforcement Transfer Learning for Short-Term Forecasting of Wind Discrepancies at Ocean Stations
Jun Zhang, Yaoran Chen, Hang Pan, et al.
Neurocomputing (2025), pp. 129491-129491
Closed Access | Times Cited: 1
Complex artificial intelligence models for energy sustainability in educational buildings
Rasikh Tariq, Awsan Mohammed, Adel Alshibani, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings
Dalia Mohammed Talat Ebrahim Ali, Violeta Motuzienė, Rasa Džiugaitė-Tumėnienė
Energies (2024) Vol. 17, Iss. 17, pp. 4277-4277
Open Access | Times Cited: 9
Deep clustering of cooperative multi-agent reinforcement learning to optimize multi chiller HVAC systems for smart buildings energy management
Raad Z. Homod, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Ahmed Kadhim Hussein, et al.
Journal of Building Engineering (2022) Vol. 65, pp. 105689-105689
Closed Access | Times Cited: 27
An energy consumption prediction approach in smart cities by CNN-LSTM network improved with game theory and Namib Beetle Optimization (NBO) algorithm
Meysam Chahardoli, Nafiseh Osati Eraghi, Sara Nazari
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Research on building energy consumption prediction algorithm based on customized deep learning model
Zheng Liang, Junjie Chen
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access
Distributed context-aware Transformer enables dynamic energy consumption prediction for smart building networks
Rui Dai, Ge Bai
Digital Communications and Networks (2025)
Open Access
Improving building energy consumption prediction using occupant-building interaction inputs and improved swarm intelligent algorithms
Chengyu Zhang, Liangdong Ma, Han Xing, et al.
Journal of Building Engineering (2023) Vol. 73, pp. 106671-106671
Open Access | Times Cited: 12
Prediction of dynamic behaviors of vibrational-powered electromagnetic generators: Synergies between analytical and artificial intelligence modelling
João V. Vidal, Tiago M.S.L. Fonte, Luís Seabra Lopes, et al.
Applied Energy (2024) Vol. 376, pp. 124302-124302
Open Access | Times Cited: 4
Predicting the Energy Consumption of Commercial Buildings Based on Deep Forest Model and Its Interpretability
Guangfa Zheng, Zao Feng, Mingkai Jiang, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2162-2162
Open Access | Times Cited: 11
Optimizing Energy Efficiency Through Building Orientation and Building Information Modelling (BIM) in Diverse Terrains: A Case Study in Pakistan
Abdul Mateen Khan, Muhammad Abubakar Tariq, Zeshan Alam, et al.
Energy (2024), pp. 133307-133307
Closed Access | Times Cited: 2
Adaptive Resource Allocation in Cloud Data Centers using Actor-Critical Deep Reinforcement Learning for Optimized Load Balancing
M. Arvindhan, Rajesh Kumar Dhanaraj
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 5s, pp. 310-318
Open Access | Times Cited: 7
CorrDQN-FS: A two-stage feature selection method for energy consumption prediction via deep reinforcement learning
Lu Liu, Qiming Fu, You Lu, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 108044-108044
Closed Access | Times Cited: 6
Visual interpretation of deep deterministic policy gradient models for energy consumption prediction
Huixue Wang, Yunzhe Wang, You Lü, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107847-107847
Closed Access | Times Cited: 5
Modeling hydro, nuclear, and renewable electricity generation in India: An atom search optimization-based EEMD-DBSCAN framework and explainable AI
Indranil Ghosh, Esteban Alfaro, Matías Gámez, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23434-e23434
Open Access | Times Cited: 2
Advancing Manufacturing Energy Efficiency: The Role of AI and Web-Based Tools
Asmae Lamsaf, Pranita Samale, Hugo Proença, et al.
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-6
Closed Access
The Utilization of a Multi-Layer Perceptron Model for Estimation of the Heating Load
Ken Chen, Wenyao Zhu
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access
GWO-ANFIS-RD3PG: A reinforcement learning approach with dynamic adjustment and dual replay mechanism for building energy forecasting
Xiang Ma, Jie Fan, Jian Wang, et al.
Journal of Building Engineering (2024), pp. 110726-110726
Closed Access
Vehicle platoon safety considering the vehicle cut-in: A coupled reinforcement learning and model predictive control approach
Taiping Yang, Peiqing Li, Qipeng Li, et al.
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering (2024)
Closed Access
Limited Data Availability in Building Energy Consumption Prediction: A Low-Rank Transfer Learning with Attention-Enhanced Temporal Convolution Network
Bo Wang, Qiming Fu, Jianping Chen, et al.
(2024)
Closed Access
Predictive control optimization of household energy storage devices for load regulation and energy conservation
Jiahao He, Qiming Fu, You Lü, et al.
Journal of Building Engineering (2024), pp. 111370-111370
Closed Access
Visual Analysis of DDPG Models by Exploring the Space of Experience
Yunzhe Wang, Huixue Wang, You Lu
(2023), pp. 1-5
Closed Access
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