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A Review on AI, ML, and DL Methods for Smart Energy Management in Buildings

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11831-023-10054-7openalex-snapshot
Machine Learning Applications for Smart Building Energy Utilization: A Survey
inferredcites →https://doi.org/10.1007/s40684-023-00537-0openalex-snapshot
AI-Empowered Methods for Smart Energy Consumption: A Review of Load Forecasting, Anomaly Detection and Demand Response
inferredcites →https://doi.org/10.1007/s42452-020-2024-9openalex-snapshot
Machine learning for energy consumption prediction and scheduling in smart buildings
inferredcites →https://doi.org/10.1016/j.enbuild.2019.109383openalex-snapshot
A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment
inferredcites →https://doi.org/10.1088/1757-899x/1148/1/012001openalex-snapshot
The use of artificial intelligence (AI) and Big-Data to improve energy consumption in existing buildings
inferredcites →https://doi.org/10.1109/access.2021.3110960openalex-snapshot
Deep Learning in Energy Modeling: Application in Smart Buildings With Distributed Energy Generation
inferredcites →https://doi.org/10.1145/3311950openalex-snapshot
Machine Learning for Smart Building Applications
inferredcites →https://doi.org/10.1186/s40327-018-0064-7openalex-snapshot
Machine learning for estimation of building energy consumption and performance: a review
inferredcites →https://doi.org/10.1186/s42162-025-00592-8openalex-snapshot
Artificial intelligence for energy optimization in smart buildings: A systematic review and meta-analysis
inferredcites →https://doi.org/10.32604/cmc.2023.032216openalex-snapshot
Smart Energy Management System Using Machine Learning
inferredcites →https://doi.org/10.3390/app11020763openalex-snapshot
Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency
inferredcites →https://doi.org/10.3390/su142013358openalex-snapshot
An Analysis of the Energy Consumption Forecasting Problem in Smart Buildings Using LSTM
inferredcites →https://doi.org/10.37256/aie.6120256065openalex-snapshot
Investigating the Impact of AI/ML for Monitoring and Optimizing Energy Usage in Smart Home
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