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The shape of buildings plays a critical role in the energy efficiency, lifestyles, land use and infrastructure systems of cities. Thus, as most of the world's cities continue to grow and develop, understanding the interplay between the…

Physics and Society · Physics 2015-12-04 Markus Schläpfer , Joey Lee , Luís M. A. Bettencourt

The geometric form of a building strongly influences its material use, heat losses, and energy efficiency. This paper presents an analytical optimization of L-shaped residential buildings aimed at minimizing the external surface area for a…

Optimization and Control · Mathematics 2026-01-21 Ewa Rokita-Magdziarz , Barbara Gronostajska , Marcin Magdziarz

Building energy performance is one of the key features in performance-based building design decision making. Building envelope materials can play a key role in improving building energy performance. The thermal properties of building…

Machine Learning · Computer Science 2021-08-30 Fatemeh Shahsavari , Zohreh Shaghaghian

In the context of global sustainability, buildings are significant consumers of energy, emphasizing the necessity for innovative strategies to enhance efficiency and reduce environmental impact. This research leverages extensive raw data…

Machine Learning · Computer Science 2024-03-22 Hamed Khosravi , Hadi Sahebi , Rahim khanizad , Imtiaz Ahmed

Buildings consume over 40% of the total energy in modern societies, and improving their energy efficiency can significantly reduce our energy footprint. In this paper, we present \texttt{WattScale}, a data-driven approach to identify the…

Computers and Society · Computer Science 2020-07-06 Srinivasan Iyengar , Stephen Lee , David Irwin , Prashant Shenoy , Benjamin Weil

Energy prediction in buildings plays a crucial role in effective energy management. Precise predictions are essential for achieving optimal energy consumption and distribution within the grid. This paper introduces a Long Short-Term Memory…

Machine Learning · Computer Science 2024-02-07 Aditya Mishra , Haroon R. Lone , Aayush Mishra

The analytical prediction of building energy performance in residential buildings based on the heat losses of its individual envelope components is a challenging task. It is worth noting that this field is still in its infancy, with…

Building energy modeling is a key tool for optimizing the performance of building energy systems. Historically, a wide spectrum of methods has been explored -- ranging from conventional physics-based models to purely data-driven techniques.…

Systems and Control · Electrical Eng. & Systems 2025-07-24 Leandro Von Krannichfeldt , Kristina Orehounig , Olga Fink

In this paper, the modeling of building end-use energy profile is comprehensively investigated. Top-down and Bottom-up approaches are discussed with a focus on the latter for better integration with occupant information. Compared to the…

Applications · Statistics 2016-11-17 Zhaoyi Kang , Ming Jin , Costas J. Spanos

The thermal characterisation of a building envelope is usually best performed from on site measurements with controlled heating power set points. Occupant-friendly measurement conditions provide on the contrary less informative data.…

In the last decade, extended efforts have been poured into energy efficiency. Several energy consumption datasets were henceforth published, with each dataset varying in properties, uses and limitations. For instance, building energy…

Computers and Society · Computer Science 2020-09-18 Yassine Himeur , Abdullah Alsalemi , Faycal Bensaali , Abbes Amira

Residential buildings account for a significant portion (35\%) of the total electricity consumption in the U.S. as of 2022. As more distributed energy resources are installed in buildings, their potential to provide flexibility to the grid…

Machine Learning · Computer Science 2024-08-13 Patrick Salter , Qiuhua Huang , Paulo Cesar Tabares-Velasco

Forecasting building energy consumption has become a promising solution in Building Energy Management Systems for energy saving and optimization. Furthermore, it can play an important role in the efficient management of the operation of a…

Machine Learning · Computer Science 2023-12-01 Mohamad Khalil , A. Stephen McGough , Hussain Kazmi , Sara Walker

Current methods to determine the energy efficiency of buildings require on-site visits of certified energy auditors which makes the process slow, costly, and geographically incomplete. To accelerate the identification of promising retrofit…

Computer Vision and Pattern Recognition · Computer Science 2022-08-26 Kevin Mayer , Lukas Haas , Tianyuan Huang , Juan Bernabé-Moreno , Ram Rajagopal , Martin Fischer

Energy consumption in buildings, both residential and commercial, accounts for approximately 40% of all energy usage in the U.S., and similar numbers are being reported from countries around the world. This significant amount of energy is…

The world is increasingly urbanizing and the building industry accounts for more than 40% of energy consumption in the United States. To improve urban sustainability, many cities adopt ambitious energy-saving strategies through retrofitting…

Machine Learning · Computer Science 2021-05-31 Yuqing Hu , Xiaoyuan Cheng , Suhang Wang , Jianli Chen , Tianxiang Zhao , Enyan Dai

Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy to design an…

Computers and Society · Computer Science 2020-09-15 Yassine Himeur , Abdullah Alsalemi , Ayman Al-Kababji , Faycal Bensaali , Abbes Amira

Building energy performance benchmarking has been adopted widely in the USA and Canada through the Energy Star Portfolio Manager platform. Building operations and energy management professionals have long used a simple 1-100 score to…

Applications · Statistics 2020-07-21 Pandarasamy Arjunan , Kameshwar Poolla , Clayton Miller

Buildings account for a substantial portion of global energy consumption. Reducing buildings' energy usage primarily involves obtaining data from building systems and environment, which are instrumental in assessing and optimizing the…

Artificial Intelligence · Computer Science 2024-04-19 Miracle Aniakor , Vinicius V. Cogo , Pedro M. Ferreira

Due to the threat of changing climate and extreme weather events, the infrastructure of the United States Army installations is at risk. More than ever, climate resilience measures are needed to protect facility assets that support critical…

Machine Learning · Computer Science 2025-09-05 Haley Dozier , Althea Henslee
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