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The building sector plays a crucial role in the worldwide decarbonization effort, accounting for significant portions of energy consumption and environmental effects. However, the scarcity of open data sources is a continuous challenge for…

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…

Power systems are equipment and data intensive. In todays big data era, a large amount of data is being generated from power system equipment via various inspection and testing activities. The industry is encouraged to make optimal…

Signal Processing · Electrical Eng. & Systems 2020-09-15 M. Martin , F. Liu , J. Sun , K. Fiske , M. Sagin , J. Shackleford , N. Hellerstein , V. Chong

With the rapid increase in the integration of renewable energy generation and the wide adoption of various electric appliances, power grids are now faced with more and more challenges. One prominent challenge is to implement efficient…

Machine Learning · Computer Science 2021-07-23 Jiuqi Elise Zhang , Di Wu , Benoit Boulet

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

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

Anomaly detection is concerned with identifying data patterns that deviate remarkably from the expected behaviour. This is an important research problem, due to its broad set of application domains, from data analysis to e-health,…

Machine Learning · Computer Science 2021-08-23 L. Erhan , M. Ndubuaku , M. Di Mauro , W. Song , M. Chen , G. Fortino , O. Bagdasar , A. Liotta

Hospitals, due to their complexity and unique requirements, play a pivotal role in global energy consumption patterns. This study conducted a comprehensive literature review, utilizing the PRISMA framework, of articles that employed machine…

Machine Learning · Computer Science 2023-11-28 Marjan FatehiJananloo , Helen Stopps , J. J. McArthur

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

The transition from traditional power grids to smart grids, significant increase in the use of renewable energy sources, and soaring electricity prices has triggered a digital transformation of the energy infrastructure that enables new,…

Machine Learning · Computer Science 2025-05-30 Carolina Fortuna , Gregor Cerar , Blaz Bertalanic , Andrej Campa , Mihael Mohorcic

Efficient energy consumption is crucial for achieving sustainable energy goals in the era of climate change and grid modernization. Thus, it is vital to understand how energy is consumed at finer resolutions such as household in order to…

Signal Processing · Electrical Eng. & Systems 2022-12-16 Swapna Thorve , Young Yun Baek , Samarth Swarup , Henning Mortveit , Achla Marathe , Anil Vullikanti , Madhav Marathe

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

The smart meter data analysis contributes to better planning and operations for the power system. This study aims to identify the drivers of residential energy consumption patterns from the socioeconomic perspective based on the consumption…

Machine Learning · Computer Science 2021-11-03 Wenjun Tang , Hao Wang , Xian-Long Lee , Hong-Tzer Yang

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

Managing supply and demand in the electricity grid is becoming more challenging due to the increasing penetration of variable renewable energy sources. As significant end-use consumers, and through better grid integration, buildings are…

Systems and Control · Electrical Eng. & Systems 2020-08-14 Anjukan Kathirgamanathan , Mattia De Rosa , Eleni Mangina , Donal P. Finn

Energy systems generate vast amounts of data in extremely short time intervals, creating challenges for efficient data management. Traditional data management methods often struggle with scalability and accessibility, limiting their…

Databases · Computer Science 2025-07-28 Lunodzo J. Mwinuka , Massimo Cafaro , Lucas Pereira , Hugo Morais

With the growth of smart building applications, occupancy information in residential buildings is becoming more and more significant. In the context of the smart buildings' paradigm, this kind of information is required for a wide range of…

Signal Processing · Electrical Eng. & Systems 2022-09-26 Sangkeum Lee , Sarvar Hussain Nengroo , Hojun Jin , Yoonmee Doh , Chungho Lee , Taewook Heo , Dongsoo Har

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 widespread popularity of smart meters enables an immense amount of fine-grained electricity consumption data to be collected. Meanwhile, the deregulation of the power industry, particularly on the delivery side, has continuously been…

Computers and Society · Computer Science 2018-03-28 Yi Wang , Qixin Chen , Tao Hong , Chongqing Kang

Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers and designers of those systems demand for energy consumption…

Other Computer Science · Computer Science 2014-05-23 Andrea Monacchi , Dominik Egarter , Wilfried Elmenreich , Salvatore D'Alessandro , Andrea M. Tonello