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Related papers: The Building Data Genome Directory -- An open, com…

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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

Buildings play a crucial role in human well-being, influencing occupant comfort, health, and safety. Additionally, they contribute significantly to global energy consumption, accounting for one-third of total energy usage, and carbon…

Machine Learning · Computer Science 2024-06-19 Arian Prabowo , Xiachong Lin , Imran Razzak , Hao Xue , Emily W. Yap , Matthew Amos , Flora D. Salim

Due to growing population and technological advances, global electricity consumption, and consequently also CO2 emissions are increasing. The residential sector makes up 25% of global electricity consumption and has great potential to…

Machine Learning · Computer Science 2025-04-15 Vid Hanžel , Blaž Bertalanič , Carolina Fortuna

Energy flexibility, through short-term demand-side management (DSM) and energy storage technologies, is now seen as a major key to balancing the fluctuating supply in different energy grids with the energy demand of buildings. This is…

Global digitalization has given birth to the explosion of digital services in approximately every sector of contemporary life. Applications of artificial intelligence, blockchain technologies, and internet of things are promising to…

Computers and Society · Computer Science 2020-06-15 Nuoa Lei

Electrical energy consumption has been an ongoing research area since the coming of smart homes and Internet of Things devices. Consumption characteristics and usages profiles are directly influenced by building occupants and their…

Other Computer Science · Computer Science 2018-10-26 Thomas Kriechbaumer , Hans-Arno Jacobsen

During the production, distribution, and consumption of energy, a large quantity of data is generated. For efficiently using of energy resources other supplementary data such as building information, weather, and environmental data etc. are…

Computers and Society · Computer Science 2019-10-22 Muhammad Aslam Jarwar , Sajjad Ali , Ilyoung Chong

The increasing demand for sustainable energy solutions has driven the integration of digitalized buildings into the power grid, leveraging Internet-of-Things (IoT) technologies to enhance energy efficiency and operational performance.…

Machine Learning · Computer Science 2024-11-21 Xiachong Lin , Arian Prabowo , Imran Razzak , Hao Xue , Matthew Amos , Sam Behrens , Flora D. Salim

The construction industry increasingly relies on visual data to support Artificial Intelligence (AI) and Machine Learning (ML) applications for site monitoring. High-quality, domain-specific datasets, comprising images, videos, and point…

Computer Vision and Pattern Recognition · Computer Science 2025-12-11 Ruoxin Xiong , Yanyu Wang , Jiannan Cai , Kaijian Liu , Yuansheng Zhu , Pingbo Tang , Nora El-Gohary

Buildings across the world contribute significantly to the overall energy consumption and are thus stakeholders in grid operations. Towards the development of a smart grid, utilities and governments across the world are encouraging smart…

Other Computer Science · Computer Science 2014-09-04 Nipun Batra , Amarjeet Singh , Pushpendra Singh , Haimonti Dutta , Venkatesh Sarangan , Mani Srivastava

Publicly available data from open sources (e.g., United States Census Bureau (Census), World Health Organization (WHO), Intergovernmental Panel on Climate Change (IPCC)) are vital resources for policy makers, students and researchers across…

Distributed ledgers are a new type of database technology that allows open access to data stored across distributed, decentralised, publicly maintained infrastructures. Current implementations of the such ledgers expect competition between…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-21 Phani Chitti

Increases in energy prices and the global goal of mitigating CO2 emissions necessitate the development of intelligent Building Management Systems (BMS) that operate on an energy-efficient basis. Data Centers, buildings and/or group of…

Signal Processing · Electrical Eng. & Systems 2025-03-19 Xavier Vasques , Thibaut Possompes , Herve Rey , Marine Le Touze , Nicolas Auboin , Emmanuelle Passot , Benoit Lange

At present, a major concern regarding data centers is their extremely high energy consumption and carbon dioxide emissions. However, because of the over-provisioning of resources, the utilization of existing data centers is, in fact,…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-03 Xibo Jin , Fa Zhang , Athanasios V. Vasilakos , Zhiyong Liu

Energy disaggregation is the process of estimating the energy consumed by individual electrical appliances given only a time series of the whole-home power demand. Energy disaggregation researchers require datasets of the power demand from…

Databases · Computer Science 2015-09-23 Jack Kelly , William Knottenbelt

This paper describes an open data set of 3,053 energy meters from 1,636 non-residential buildings with a range of two full years (2016 and 2017) at an hourly frequency (17,544 measurements per meter resulting in approximately 53.6 million…

Systems in the built environment continuously emit time series data about resource usage (e.g., energy and water), embedded electrical generation/storage, status of equipment, patterns of building occupancy, and readings from IoT sensors.…

Understanding how buildings are distributed globally is crucial to revealing the human footprint on our home planet. This built environment affects local climate, land surface albedo, resource distribution, and many other key factors that…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Xiao Xiang Zhu , Qingyu Li , Yilei Shi , Yuanyuan Wang , Adam Stewart , Jonathan Prexl

Surpassing the two large emission sectors of transportation and industry, the building sector accounted for 34% and 37% of global energy consumption and carbon emissions in 2021, respectively. The building sector, the final piece to be…

Econometrics · Economics 2024-06-07 Shufan Zhang , Minda Ma , Nan Zhou , Jinyue Yan

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
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