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Related papers: Data Driven Energy Efficiency in Buildings

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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

Construction and operating of buildings is one of the major contributors to global greenhouse emissions. With the inefficient usage of energy due to human behavior and manual operation, the energy consumption of buildings is further…

Systems and Control · Electrical Eng. & Systems 2026-02-25 Haizum Hanim Ab Halim , Dalila Alias , Akmal Zaini Arsad , Lewis Tee Jen Looi , Rosdiadee Nordin , Denny Ng Kok Sum

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…

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…

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

The growing global energy demand and the urgent need for sustainability call for innovative ways to boost energy efficiency. While advanced energy-saving systems exist, they often fall short without user engagement. Providing feedback on…

Machine Learning · Computer Science 2025-05-13 Sotirios Athanasoulias

Non-intrusive load monitoring (NILM) is the process of obtaining appliance-level data from a single metering point, measuring total electricity consumption of a household or a business. Appliance-level data can be directly used for demand…

Machine Learning · Computer Science 2024-04-01 Anže Pirnat , Blaž Bertalanič , Gregor Cerar , Mihael Mohorčič , Carolina Fortuna

Due to its significant contribution to global energy usage and the associated greenhouse gas emissions, existing building stock's energy efficiency must improve. Predictive building control promises to contribute to that by increasing the…

Computers and Society · Computer Science 2018-07-18 Mischa Schmidt , Christer Åhlund

One of the most far-reaching use cases of the internet of things is in smart grid and smart home operation. The smart home concept allows residents to control, monitor, and manage their energy consumption with minimum loss and…

Systems and Control · Electrical Eng. & Systems 2025-02-11 S. Saba Rafiei , Mahdi S. Naderi , Mehrdad Abedi

We present a large real-world dataset obtained from monitoring a smart company facility over the course of six years, from 2018 to 2023. The dataset includes energy consumption data from various facility areas and components, energy…

Buildings consume 60% of global electricity. However, current building management systems (BMSs) are highly expensive and difficult to justify for small to medium-sized buildings. As such, the Internet of Things (IoT), which can monitor and…

Other Computer Science · Computer Science 2018-05-29 Wayes Tushar , Nipun Wijerathne , Wen-Tai Li , Chau Yuen , H. Vincent Poor , Tapan Kumar Saha , Kristin L. Wood

As buildings become increasingly connected and sensor-rich, intelligent remote heating control is rapidly superseding conventional local heating control. Such control algorithms often aim at reducing energy consumption by minimizing…

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

The housing structures have changed with urbanization and the growth due to the construction of high-rise buildings all around the world requires end-use appliance energy conservation and management in real-time. This shift also came along…

Signal Processing · Electrical Eng. & Systems 2021-04-16 Akriti Verma , Adnan Anwar , M. A. Parvez Mahmud , Mohiuddin Ahmed , Abbas Kouzani

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…

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

Buildings Automation Systems (BAS) are ubiquitous in contemporary buildings, both monitoring building conditions and managing the building system control points. At present, these controls are prescriptive and pre-determined by the design…

Networking and Internet Architecture · Computer Science 2022-08-26 Caroline Quinn , Ali Zargar Shabestari , Marin Litoiu , J. J. McArthur

Energy consumption in residential and commercial buildings has increased dramatically worldwide in the last decade, due to the constant population and economic growth, the proliferation of electronic and consumer appliances. This has…

Networking and Internet Architecture · Computer Science 2018-11-13 Djamel Djenouri , Roufaida Laidi , Cherif Zizoua

Building Information Modeling has been used to analyze as well as increase the energy efficiency of the buildings. It has shown significant promise in existing buildings by deconstruction and retrofitting. Current cities which were built…

Machine Learning · Computer Science 2022-05-24 Rucha Bhalchandra Joshi , Annada Prasad Behera , Subhankar Mishra

Smart energy in buildings is an important research area of Internet of Things (IoT). Buildings as important parts of the smart grids, their energy efficiency is vital for the environment and global sustainability. Using a…

Networking and Internet Architecture · Computer Science 2016-11-15 Jianli Pan , Raj Jain , Subharthi Paul , Tam Vu , Abusayeed Saifullah , Mo Sha
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