TY - BOOK AU - Tomar,Anuradha AU - Nguyen,Phuong H. AU - Mishra,Sukumar ED - SpringerLink (Online service) TI - Control of Smart Buildings: An Integration to Grid and Local Energy Communities T2 - Studies in Infrastructure and Control, SN - 9789811903755 AV - TJ163.5.B84 PY - 2022/// CY - Singapore PB - Springer Nature Singapore, Imprint: Springer KW - Sustainable architecture KW - Control engineering KW - Electric power production KW - Renewable energy sources KW - Sustainable Architecture/Green Buildings KW - Control and Systems Theory KW - Electrical Power Engineering KW - Renewable Energy KW - Buildings -- Energy conservation KW - Smart power grids KW - Artificial intelligence KW - Intelligent buildings KW - Sustainable buildings N1 - 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 N2 - 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 UR - https://doi.org/10.1007/978-981-19-0375-5 ER -