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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

In the past extensive researches have been conducted on demand side management (DSM) program which aims at reducing peak loads and saving electricity cost. In this paper, we propose a framework to study decentralized household demand side…

Optimization and Control · Mathematics 2017-12-25 Hamidreza Sadeghian , Zhifang Wang

Demand Response is an emerging technology which will transform the power grid of tomorrow. It is revolutionary, not only because it will enable peak load shaving and will add resources to manage large distribution systems, but mainly…

Information Theory · Computer Science 2012-09-26 Vicenç Gómez , Michael Chertkov , Scott Backhaus , Hilbert J. Kappen

Energy management, and in particular its optimization, is one of the hot trends in the current days, both at the enterprise level (optimization of whole corporate/government buildings) and single citizens' homes. The current trend is to…

Minimizing the peak power consumption and matching demand to supply, under fixed threshold polices, are two key requirements for the success of the future electricity market. In this work, we consider dynamic pricing methods to minimize the…

Optimization and Control · Mathematics 2016-10-26 Zaid Almahmoud , Jacob Crandall , Khaled Elbassioni , Trung Thanh Nguyen , Mardavij Roozbehani

Towards integrating renewable electricity generation sources into the grid, an important facilitator is the energy flexibility provided by buildings' thermal inertia. Most of the existing research follows a single-step price- or…

Systems and Control · Electrical Eng. & Systems 2023-12-11 Yun Li , Neil Yorke-Smith , Tamas Keviczky

A Smart Home provides integrating and electronic information services to help residential users manage their energy usage and bill cost but also exposes users to significant privacy risks due to fine-grained information collected by smart…

Cryptography and Security · Computer Science 2019-09-13 Boyang Li , Jie Wu , Yiyu Shi

The cost of the power distribution infrastructures is driven by the peak power encountered in the system. Therefore, the distribution network operators consider billing consumers behind a common transformer in the function of their peak…

Systems and Control · Electrical Eng. & Systems 2022-04-01 Wenqi Cai , Hossein N. Esfahani , Arash B. Kordabad , Sébastien Gros

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

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…

Being able to adjust the demand of electricity can be an effective means for power system operators to compensate fluctuating renewable generation, to avoid grid congestion, and to cope with other contingencies. Electric heating and cooling…

Systems and Control · Computer Science 2018-06-21 Fabian L. Müller , Bernhard Jansen

Grid-interactive building control is a challenging and important problem for reducing carbon emissions, increasing energy efficiency, and supporting the electric power grid. Currently researchers and practitioners are confronted with a…

Systems and Control · Electrical Eng. & Systems 2022-10-20 David Biagioni , Xiangyu Zhang , Christiane Adcock , Michael Sinner , Peter Graf , Jennifer King

This paper addresses the design and implementation of a smart building prototype. The implementation utilizes Internet of Things (IoT) solutions to collect, analyze, and manage data from building systems in a smart city environment. The…

Systems and Control · Computer Science 2019-02-28 Roja Eini , Lauren Linkous , Nasibeh Zohrabi , Sherif Abdelwahed

Building environments are significant sources of global energy consumption. To create energy efficient buildings, the first step is to sense and monitor all the energy-consuming appliances in the buildings and record all the energy…

Networking and Internet Architecture · Computer Science 2016-03-29 Jianli Pan , Shan Zhi Chen , Raj Jain , Subharthi Paul

The penetration of electric vehicles becomes a catalyst for the sustainability of Smart Cities. However, unregulated battery charging remains a challenge causing high energy costs, power peaks or even blackouts. This paper studies this…

Systems and Control · Computer Science 2019-05-22 Evangelos Pournaras , Seoho Jung , Srivatsan Yadhunathan , Huiting Zhang , Xingliang Fang

The European adoption of smart electricity meters triggers the developments of new value-added service for smart energy and optimal consumption. Recently, several algorithms and tools have been built to analyze smart meter's data. This…

Other Computer Science · Computer Science 2018-07-10 Egon Kidmose , Emad Ebeid , Rune Hylsberg Jacobsen

Device use in smart homes is becoming increasingly communal, requiring cohabitants to navigate a complex social and technological context. In this paper, we report findings from an exploratory survey grounded in our prior work on communal…

Human-Computer Interaction · Computer Science 2020-03-11 Martin J. Kraemer , Ulrik Lyngs , Helena Webb , Ivan Flechais

This paper proposes an optimal management strategy for a Renewable Energy Community defined according to the Italian legislation. The specific case study is composed by a set of houses equipped with smart appliances, that share a PV plant.…

Systems and Control · Electrical Eng. & Systems 2023-08-14 Francesco Conte , Federico Silvestro , Andrea Vinci , Anna Rita Di Fazio

An effective way to oppose global warming and mitigate climate change is to electrify our energy sectors and supply their electric power from renewable wind and solar. Spatio-temporal predictions of electric load become increasingly…

Machine Learning · Computer Science 2022-11-23 Arsam Aryandoust , Anthony Patt , Stefan Pfenninger

The participation of consumers and producers in demand response programs has increased in smart grids, which reduces investment and operation costs of power systems. Also, with the advent of renewable energy sources, the electricity market…

Machine Learning · Computer Science 2022-07-29 Nafise Rezaei , Roozbeh Rajabi , Abouzar Estebsari
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