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Control of smart buildingsan integration to grid and local energy communities /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Control of smart buildingsedited by Anuradha Tomar, Phuong H. Nguyen, Sukumar Mishra.
其他題名:	an integration to grid and local energy communities /
其他作者:	Tomar, Anuradha.
出版者:	Singapore :Springer Nature Singapore :2022.
面頁冊數:	xii, 270 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	BuildingsEnergy conservation.
電子資源:	https://doi.org/10.1007/978-981-19-0375-5
ISBN:	9789811903755$q(electronic bk.)

Control of smart buildingsan integration to grid and local energy communities /
Control of smart buildingsan integration to grid and local energy communities /[electronic resource] :edited by Anuradha Tomar, Phuong H. Nguyen, Sukumar Mishra. - Singapore :Springer Nature Singapore :2022. - xii, 270 p. :ill., digital ;24 cm. - Studies in infrastructure and control,2730-6461. - Studies in infrastructure and control..

An Introduction to Smart Building Energy Management -- The Influence of the Increasing Penetration of Photovoltaic Generation on Integrated Transmission-Distribution Power Systems -- Building Energy Management -- Demand-side Management And Peak Load Reduction -- Demand Response in Smart Buildings -- Building Services with the Local Energy Community- Applications -- Energy Solutions for Smart Buildings Integrated with Local Energy Communities -- Advanced Technologies for Smart Building Management: Linking Building Components and Energy Use -- Applications to Building Services with the Local Energy Community -- Optimization in Grid-Interactive Buildings -- Cost-Benefit and Short-term Power Flow Analysis of Grid Integrated Residential Photovoltaic-Battery Energy System.

This book provides an overview of how efficient building energy management can be done, considering the increasing importance of renewable energy integration. It also includes the grid-interactive building, their control, energy management, and optimization techniques to promote better understanding among researchers and business professionals in the utility sector and across industries. This book is written and edited by leading specialists active in concurrent developments in smart building management, renewable energy research, and application-driven R&D. The experiences and research work shared help the readers in enhancing their knowledge in the field of renewable energy, power engineering, building energy management, demand, and supply management and learn the technical analysis of the same in an insightful manner. Additionally, established and emerging applications related to applied areas like smart cities, the Internet of things, machine learning, artificial intelligence, etc., are developed and utilized to demonstrate recent innovations in smart building energy management.

ISBN: 9789811903755$q(electronic bk.)

Standard No.: 10.1007/978-981-19-0375-5doiSubjects--Topical Terms:

190333
Buildings
--Energy conservation.

LC Class. No.: TJ163.5.B84 / C65 2022

Dewey Class. No.: 333.7962

Control of smart buildingsan integration to grid and local energy communities /
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520 $a This book provides an overview of how efficient building energy management can be done, considering the increasing importance of renewable energy integration. It also includes the grid-interactive building, their control, energy management, and optimization techniques to promote better understanding among researchers and business professionals in the utility sector and across industries. This book is written and edited by leading specialists active in concurrent developments in smart building management, renewable energy research, and application-driven R&D. The experiences and research work shared help the readers in enhancing their knowledge in the field of renewable energy, power engineering, building energy management, demand, and supply management and learn the technical analysis of the same in an insightful manner. Additionally, established and emerging applications related to applied areas like smart cities, the Internet of things, machine learning, artificial intelligence, etc., are developed and utilized to demonstrate recent innovations in smart building energy management.
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