Building Energy Management

Ask about this topic

Overview

Building energy management studies how to operate heating, cooling, ventilation, storage, and flexible loads to reduce costs and emissions while maintaining comfort and indoor air quality. Common approaches include model predictive control with thermal or resistance-capacitance models, forecasting and transfer learning, and reinforcement learning with reward shaping or safety filters; occupancy sensing and human preferences increasingly inform these controls. Researchers evaluate methods using building simulators, real operational data, and benchmarks for forecasting, energy use, comfort, and grid flexibility. A central challenge is making simulated improvements transfer safely across buildings and operating conditions, especially when comfort, equipment limits, occupant needs, and deployment reliability can conflict with energy savings.

Latest papers

CardsList

45 papers4 papers in the last four weeks, down 43% on the four weeks before. 0.0% of all new papers.

  1. AutoEnergyDesign: An LLM-Driven Agent for Automatic Energy System Design Optimization

    Oct 26, 2026Amedeo Buonanno, Salvatore Fabozzi, Maria ValentiLarge Language Model-Guided OptimizationMemory-Augmented Language Model Agents

    Department of Energy Technologies and Renewable Sources, ENEA - 80055 - Portici (NA), Italy

  2. One Agent per Zone: Decentralised Active Inference under Partial Observability for Multi-Zone HVAC Control on Edge Hardware

    Oct 14, 2026Panagiotis Kasnesis, Lazaros Toumanidis, Christos Chatzigeorgiou +2Heating, Ventilation, and Air Conditioning ControlBuilding Energy Management

    Waldiez P.C., Maroussi, Greece · ThinGenious P.C., Maroussi, Greece · PRAESC AI, Biel, Switzerland

  3. The Smart Buildings Challenge: Learning Foundation Models for Real-World Optimization at Scale

    Oct 13, 2026Judah Goldfeder, Ayush Rai, Philippe M. Wyder +11Building Energy ManagementTransfer Learning

    Columbia University · Harvard University · Distyl AI +6

  4. Choosing an energy-efficient software architecture for building system diagnostic support

    Oct 5, 2026Roxane Koitz-Hristov, Franz WotawaEnergy-Efficient MLBuilding Energy Management

    Graz University of Technology Institute of Software Engineering and Artificial Intelligence Inffeldgasse 16b/2, A-8010 Graz, Austria

  5. Questionnaire-Guided Disaggregation of Energy Appliance Use for Domestic Smart Meter Data

    Oct 1, 2026Achal Nanjundamurthy, Rupam Misra, Suzanne Little +1Non-Intrusive Load MonitoringBuilding Energy Management

    School of Computing, Dublin City University, Glasnevin, Dublin 9, Ireland

  6. Uncovering Residential PV-EV Co-Adoption from Smart-Meter Data: Load Archetypes and Detection for Demand-Side Planning

    Sep 23, 2026Jack Zheng, Hao WangNon-Intrusive Load MonitoringElectric Vehicle Charging

    Department of Data Science and AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia · Monash Energy Institute, Monash University, Melbourne, Victoria, Australia

  7. Heating in human-HVAC interaction for smart homes: An interdisciplinary overview

    Sep 20, 2026Delong Korus-Du, Gunnar Stevens, Alexander Boden +6Heating, Ventilation, and Air Conditioning ControlBuilding Energy Management

    Department of Human-Computer Interaction, University of Siegen, Siegen, Germany · Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany · Department of Industrial Design, Eindhoven University of Technology, Eindhoven, Netherlands +2

  8. Comparative review of hybrid forecasting models for short-term prediction of building thermal load

    Sep 19, 2026Nikolaos A. Efkarpidis, Despoina Kothona, Georgios C. ChristoforidisElectricity Load ForecastingTime Series Forecasting

    VIVAVIS Schweiz AG - 5405 Baden, Switzerland · Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece

  9. CityLearn v3: A Configurable Simulation and Evaluation Framework for Realistic Control Studies of Renewable Energy Communities

    Sep 18, 2026Tiago Fonseca, Luis Lino Ferreira, Armando Sousa +2Power SystemsBuilding Energy Management

    INESC TEC / Polytechnic of Porto - School of Engineering, Porto, Portugal · FEUP - Faculty of Engineering, University of Porto / INESC TEC, Porto, Portugal · Department of the Built Environment, Building Services, Eindhoven University of Technology, Eindhoven, the Netherlands

  10. Very Exciting: Zero-Shot Model Predictive Control of Buildings via Excitation-Based Generalized Transfer Learning Models

    Sep 11, 2026Fabian Raisch, Felix Koch, Zack Xuereb Conti +2Building Energy ManagementModel Predictive Control

    Technical University of Applied Sciences Rosenheim, Hochschulstraße 1, Rosenheim, 83024, Germany · Technical University of Munich, Arcisstraße 21, Munich, 80333, Germany · Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen, 76344, Germany +1

  11. LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics

    Sep 10, 2026Mariia Baranova, Adrien Petralia, Etienne Le Naour +3Synthetic Data GenerationBuilding Energy Management

    EDF R&D, Palaiseau, France · Université Paris Cité, F-75006 Paris, France

  12. Large Language Models for HVAC Operations in Building Energy Systems: A Critical Review of Methods, Applications, and Deployment Readiness

    Sep 4, 2026Alexander Neubauer, Tianzhen Hong, Han Li +4Language Model-Based ControlHeating, Ventilation, and Air Conditioning Control

  13. Systematic Evaluation of TabPFN-TS and Chronos-2 for Zero-Shot Heat Load Forecasting in District Heating Networks

    Aug 20, 2026Ben Spoek, Karim K. Ben Hicham, Kai Derzsi +3Zero-Shot Time Series ForecastingTime Series Forecasting

    Chair of Energy Efficient Buildings and Indoor Climate, RWTH Aachen University, Mathieustr. 10, 52074 Aachen, Germany · Process Systems Engineering, RWTH Aachen University, Forckenbeckstr. 51, 52074 Aachen, Germany

  14. ADAPT: Physics-Aware Diffusion-based World Models for Adaptive Predictive Transferable HVAC Control

    Aug 20, 2026Xu Yang, Kailai Sun, Dianyu Zhong +1Heating, Ventilation, and Air Conditioning ControlBuilding Energy Management

    Department of Automation Tsinghua University, Beijing, China · SMART, Singapore Massachusetts Institute of Technology Cambridge, MA, USA

  15. Software Engineering for AI-driven Building Operation

    Aug 17, 2026Philipp Zech, Sascha Hammes, Johannes Weninger +2Software EngineeringAI Control

    University of Innsbruck, Tyrol, Austria · Bartenbach - The Lighting Innovators, Wattens, Austria · University of Applied Sciences Burgenland, Austria

  16. On the global feature importance for interpretable and trustworthy heat demand forecasting

    Aug 13, 2026Milan ZdravkovićFeature AttributionInterpretable ML

    Faculty of Mechanical Engineering University of Niš ul. Aleksandra Medvedeva 14, 18000 Niš, Serbia

  17. Towards an approach to multivariate outlier detection for District Heating System data

    Aug 11, 2026Rajko Turudija, Dušan Stojiljković, Milan Zdravković +1Isolation ForestIndustrial Anomaly Detection

    Faculty of Mechanical Engineering University of Niš ul. Aleksandra Medvedeva 14, 18000 Niš, Serbia

  18. Contextual Quality-Diversity Evolutionary Reinforcement Learning for HVAC Control in Tropical Commercial Buildings

    Aug 11, 2026Tran Le VuReinforcement LearningBuilding Energy Management

  19. EnergyBridge: Benchmarking Household Energy Management, User Participation, and Grid Flexibility

    Aug 9, 2026Xudong Wu, Zeqing Wu, Jiarui Zhang +8Human-in-the-Loop EvaluationBuilding Energy Management

    1The University of Hong Kong · 2Tianjin University · 3Beihang University

  20. ArchEGraph: A Large-Scale Graph Dataset for Geometry-Topology-Physics Aligned Building Energy Modeling

    Aug 7, 2026Yihui Li, Yihui Chen, Kaidi Zha +7Graph ReconstructionBenchmark Construction

    Tsinghua University · UC Berkeley · 1Tsinghua University 2UC Berkeley 3MIT +4

  21. Verifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage Control

    Jul 14, 2026Takumi Shioda, Kohei Terashima, Tatsuo NagaiRL for Language Model ReasoningBuilding Energy Management

    The University of Tokyo · Tokyo University of Science

  22. Understanding electricity consumption behaviour through Inverse Reinforcement Learning

    Jul 3, 2026Enrico Cofler, Carlos Rodriguez-Pardo, Matteo Giuliani +2Building Energy ManagementPower Systems

    Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Via Ponzio 34/5, 20133 Milano, Italy · RFF-CMCC European Institute on Economics and the Environment, Via Solari, 11, 20144 Milano, Italy · Centro Euro-Mediterraneo sui Cambiamenti Climatici, Via Solari, 11, 20144 Milano, Italy +2

  23. ThermoLLM: Thermodynamics-Aware HVAC Control with Spatial-Semantic Knowledge Graph

    Jun 22, 2026Kirtan Bhatt, Xiachong Lin, Matthew Amos +2Language Model-Based ControlBuilding Energy Management

    UNSW Sydney · Sydney, NSW, Australia · University of New South Wales +2

  24. Hidden Degradation Costs in Energy-Cost-Only HEMS Optimisation: Study on Battery and PV Sensitivity

    Jun 14, 2026Dawood Butt, Nandor VerbaBuilding Energy Management

    WMG, The University of Warwick, Coventry, United Kingdom

  25. Who Earns the Safety? Intervention-Aware Quantum Predictive Control with Safety Attribution

    Jun 8, 2026Yifan WangSafety-Critical ControlControl Barrier Functions

    Department of Mechanical Engineering, McGill University Montréal, QC H3A 2T7, Canada

  26. RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting

    Jun 1, 2026Jainam Dhruva, Yousaf Raza, A. B. Siddique +1Multivariate Time Series ForecastingSynthetic-to-Real Domain Adaptation

    Department of Computer Science University of Kentucky Lexington, KY 40506

  27. Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings

    Jun 1, 2026Hallah Shahid Butt, Qiong Huang, Gökhan Demirel +6RL ControlReinforcement Learning

    Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany

  28. Quantifying the Energy Floor: Direct Measurement and Replay Buffer Bias in SAC-Based HVAC Control on sbsim

    Jun 1, 2026Bo Li, Chen ZhangExperience ReplayBuilding Energy Management

    Shanghai Jiao Tong University College of Smart Energy Shanghai, China

  29. Application of Algorithms in Energy-Efficient Design Platforms for Green Building

    May 31, 2026Na Yu, Fu Wenli, Guo FeiBuilding Energy Management

    First Highway Engineering Co., Ltd. Chengdu, Sichuan Province, 610000, China

  30. Uncertainty-Aware Transfer Learning for Cross-Building Energy Forecasting: Toward Robust and Scalable District-Level Energy Management

    May 28, 2026Shadmehr Zaregarizi, Khashayar YavariUncertainty QuantificationTime Series Forecasting

    Politecnico di Torino · Turin, Italy