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Recent Innovations, Challenges, and Future Directions in Building Management Systems: A Comprehensive Review.
Dawood, Zahraa Khalid ; Al-Turfi, M. N. ; Farhan, Bashar Sakeen
Ingénierie des Systèmes d'Information. Sep2025, Vol. 30 Issue 9, p2511-2520. 10p.
Machine Learning in Python Fundamentals
Hernandez Aguilar, Jose Alberto ; Hernandez Perez, Yasmin
2023 12th International Conference On Software Process Improvement (CIMPS) Software Process Improvement (CIMPS), 2023 12th International Conference On. :281-284 Oct, 2023
Three-objective optimization of the HVAC system control strategy in an educational building to reduce energy consumption and enhance indoor environmental quality (IEQ) using machine learning techniques
Elhami, Mehrbod ; Goodarzi, Sam Sarlak ; Maleki, Sina ; et al.
In Journal of Building Engineering 1 July 2025 105
Machine learning-based dynamic production planning and control in unreliable manufacturing systems with supply disruptions.
Assid, M. ; Gharbi, A. ; Pellerin, R.
International Journal of Production Research. Dec2025, Vol. 63 Issue 23, p9229-9247. 19p.
Building Recommender systems with machine learning and AI
Sundog Education presents Building Recommender systems with machine learning and AI
Packt Publishing, film distributor. ; Sundog Education, presenter. ; Kane, Frank (Instructor), instructor.
Cost-effective intelligent building: Energy management system using machine learning and multi-criteria decision support
Cai, Helen ; Zhang, Wanhao ; Yuan, Qiong ; et al.
In Energy Economics February 2025 142
A Highly Configurable Framework for Large-Scale Thermal Building Data Generation to drive Machine Learning Research
Krug, Thomas ; Raisch, Fabian ; Aimer, Dominik ; et al.
Data-driven approach of atrium skylights-integrated photovoltaic systems design based on multimodal deep learning: Considering different regions in China
Chen, Zhengshu ; Cui, Yanqiu ; Ren, Zhen ; et al.
In Energy 30 October 2025 335
SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation
Burdisso, Sergio ; Baroudi, Séverin ; Labrak, Yanis ; et al.
A modular Python framework for rapid development of advanced control algorithms for energy systems
Eser, Steffen ; Storek, Thomas ; Wüllhorst, Fabian ; et al.
In Applied Energy 1 May 2025 385
Analysis and performance prediction of a building integrated photovoltaic thermal system with and without phase change material
Alsagri, Ali Sulaiman ; Alrobaian, Abdulrahman A.
In Energy 30 November 2024 310
A simple and efficient machine-learning based approach for optimal heating control of radiant floor heating systems: Proposal and validation
Liang, Xiguan ; Shim, Jisoo ; Song, Doosam
In Building and Environment 15 March 2025 272
A novel univariate feature selection with ANOVA F-test-based machine learning model for Intrusion Detection Framework of Robotics system.
Verma, Narinder ; Kumar, Neerendra ; Singh, Kuljeet ; et al.
Applied Artificial Intelligence. Dec2025, Vol. 39 Issue 1, p1-20. 20p.
Establishing a Dynamic Recommendation System for E-commerce by Integrating Online Reviews, Product Feature Expansion, and Deep Learning.
Ou, Tsung-Yin ; Chen, Chun-Hung ; Tsai, Wen-Lung
Applied Artificial Intelligence. Dec2025, Vol. 39 Issue 1, p1-24. 24p.
Automated data-driven modeling of building energy systems via machine learning algorithms
Rätz, Martin ; Javadi, Amir Pasha ; Baranski, Marc ; et al.
In Energy & Buildings 1 November 2019 202
Integrating building energy simulation with a machine learning algorithm for evaluating indoor living walls’ impacts on cooling energy use in commercial buildings
Wang, Liping ; Witte, Michael J.
In Energy & Buildings 1 October 2022 272
BUILDA: A Thermal Building Data Generation Framework for Transfer Learning
Krug, Thomas ; Raisch, Fabian ; Aimer, Dominik ; et al.
Proceedings of the 2025 Annual Modeling and Simulation Conference (ANNSIM25)
Machine learning driven building integrated photovoltaic (BIPV) envelope design optimization
Tharushi Imalka, Samarasinghalage ; Yang, Rebecca Jing ; Zhao, Yusen
In Energy & Buildings 1 December 2024 324
Consumer-Centric Energy Use in Educational Institutions: A Machine Learning Approach to Predictive Consumption and Behavioral Insights.
G., Preetha ; S. A., Vignesh Karthik ; V., Ameena Babu ; et al.
Advances in Consumer Research. 2025, Vol. 2 Issue 4, p4096-4106. 11p.
AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems
Dibia, Victor ; Chen, Jingya ; Bansal, Gagan ; et al.
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