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Related papers: Emerging Paradigms in the Energy Sector: Forecasti…

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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

Harnessing the demand-side flexibility in building and mobility sectors can help to better integrate renewable energy into power systems and reduce global CO2 emissions. Enabling this sector coupling can be achieved with advances in energy…

Driven by growing concerns over air quality and energy security, electric vehicles (EVs) has experienced rapid development and are reshaping global transportation systems and lifestyle patterns. Compared to traditional gasoline-powered…

Systems and Control · Electrical Eng. & Systems 2025-09-08 Hai Wang , Baoshen Guo , Xiaolei Zhou , Shuai Wang , Zhiqing Hong , Tian He

Given the rapid rise in energy demand by data centers and computing systems in general, it is fundamental to incorporate energy considerations when designing (scheduling) algorithms. Machine learning can be a useful approach in practice by…

Data Structures and Algorithms · Computer Science 2021-12-07 Antonios Antoniadis , Peyman Jabbarzade Ganje , Golnoosh Shahkarami

In recent years, the Edge Computing (EC) paradigm has emerged as an enabling factor for developing technologies like the Internet of Things (IoT) and 5G networks, bridging the gap between Cloud Computing services and end-users, supporting…

Machine Learning · Computer Science 2022-01-19 Guilherme Cassales , Heitor Gomes , Albert Bifet , Bernhard Pfahringer , Hermes Senger

Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies. Accordingly, as a consequence of IoT and AI,…

This paper surveys the primary computational hurdles of Energy Systems optimization coming from different sources: model-induced complexity, optimization algorithm requirements, and uncertainties handling (both aleatoric and epistemic).…

Ambitious decarbonisation targets are rapidly increasing the commission of new offshore wind farms. For these newly commissioned plants to run, accurate power forecasts are needed from the onset. These allow grid stability, good reserve…

Machine Learning · Computer Science 2026-04-27 Dominic Weisser , Chloé Hashimoto-Cullen , Benjamin Guedj

Energy saving and carbon emission reduction in buildings is one of the key measures in combating climate change. Heating, Ventilation, and Air Conditioning (HVAC) system account for the majority of the energy consumption in the built…

Other Computer Science · Computer Science 2020-11-03 Yong Yu

This Ph.D. thesis deals with the optimization of several renewable energy resources development as well as the improvement of facilities management in oceanic engineering and airports, using computational hybrid methods belonging to AI to…

Machine Learning · Statistics 2018-06-08 L. Cornejo-Bueno

The social context in relation to energy policies, energy supply, and sustainability concerns as well as advances in more energy-efficient technologies is driving a need for a change in the manufacturing sector. The main purpose of this…

Optimization and Control · Mathematics 2023-08-31 Ahmed Missaoui , Cemalettin Ozturk , Barry O'Sullivan , Michele Garraffa

Utilizing solar energy to meet space heating and domestic hot water demand is very efficient (in terms of environmental footprint as well as cost), but in order to ensure that user demand is entirely covered throughout the year needs to be…

Machine Learning · Computer Science 2024-05-17 Tatiana Boura , Natalia Koliou , George Meramveliotakis , Stasinos Konstantopoulos , George Kosmadakis

In future energy systems with high shares of renewable energy sources, the electricity demand of buildings has to react to the fluctuating electricity generation in view of stability. As buildings consume one-third of global energy and…

Systems and Control · Electrical Eng. & Systems 2023-06-29 Moritz Frahm , Thomas Dengiz , Philipp Zwickel , Heiko Maaß , Jörg Matthes , Veit Hagenmeyer

Demand response has been implemented by distribution system operators to reduce peak demand and mitigate contingency issues on distribution lines and substations. Specifically, the campus based commercial buildings make the major…

Optimization and Control · Mathematics 2018-12-21 Zheming Liang , Desong Bian , Xiaohu Zhang , Di Shi , Ruisheng Diao , Zhiwei Wang

The exponential growth of Internet of Things (IoT) devices has intensified the demand for efficient and responsive services. To address this demand, fog and edge computing have emerged as distributed paradigms that bring computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-05 Ali Akbar Vali , Sadoon Azizi , Mohammad Shojafar , Rajkumar Buyya

Mobile networks are becoming energy hungry, and this trend is expected to continue due to a surge in communication and computation demand. Multi-access Edge Computing (MEC), will entail energy-consuming services and applications, with…

Networking and Internet Architecture · Computer Science 2022-09-29 Neda Shalavi , Giovanni Perin , Andrea Zanella , Michele Rossi

This paper proposes a robust demand-side control algorithm in a smart grid environment for heating, ventilation and air conditioning (HVAC) systems. A robust model predictive control (RMPC) scheme in a receding horizon fashion is deployed,…

Systems and Control · Computer Science 2018-06-25 Sarmad Hanif , D. F. R. Melo , Mehdi Maasoumy , Tobias Massier , Thomas Hamacher , Thomas Reindl

The global energy landscape is undergoing a profound transformation, often referred to as the energy transition, driven by the urgent need to mitigate climate change, reduce greenhouse gas emissions, and ensure sustainable energy supplies.…

Machine Learning · Computer Science 2025-05-08 Stavros Sykiotis

In recent years, the energy-water nexus literature has recognized that the electricity and water infrastructure that enable the production, distribution, and consumption of these two commodities is fundamentally intertwined. Electric power…

Systems and Control · Electrical Eng. & Systems 2019-08-29 Steffi O. Muhanji , Amro M. Farid

An increasing amount of data is being injected into the network from IoT (Internet of Things) applications. Many of these applications, developed to improve society's quality of life, are latency-critical and inject large amounts of data…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-13 Patricia Arroba , Rajkumar Buyya , Román Cárdenas , José L. Risco-Martín , José M. Moya