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Smart energy management : a computational approach

By: Contributor(s): Material type: TextTextPublication details: New Jersey : World Scientific, ©2022Description: xiv, 298 p. : ill. ; 24 cmISBN:
  • 9789811252280
Subject(s): DDC classification:
  • 621.042 RAM-S
Contents:
1. Introduction
2. Smart Electric Grid : Applications and Data Analysis
3. Energy Management Systems for Modern Buildings
4. A Systematic Approach to Thermal Comfort
5. Customized Thermal Comfort
6. Solar Energy in Buildings
7. Making the Best of Available Energy
Summary: The focus of this book is smart energy management with the recurring theme being the use of computational and data-driven methods that use requirements/measurement/monitoring data to drive actuation/control, optimization, and resource management. The computational perspective is applied to manage energy, with an emphasis on smart buildings and the smart electric grids. The book also presents computational thinking and techniques such as inferencing and learning for energy management. To this end, this book is designed to help understand the recent research trends in energy management, focusing specifically on the efforts to increase energy efficiency of buildings, campuses, and cities--
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode Item holds
Books Books IIITD General Stacks Engineering and Allied Operation 621.042 RAM-S (Browse shelf(Opens below)) Available Gifted by Prof. Pankaj Jalote G02818
Total holds: 0

Includes bibliographical references and index.

1. Introduction

2. Smart Electric Grid : Applications and Data Analysis

3. Energy Management Systems for Modern Buildings

4. A Systematic Approach to Thermal Comfort

5. Customized Thermal Comfort

6. Solar Energy in Buildings

7. Making the Best of Available Energy

The focus of this book is smart energy management with the recurring theme being the use of computational and data-driven methods that use requirements/measurement/monitoring data to drive actuation/control, optimization, and resource management. The computational perspective is applied to manage energy, with an emphasis on smart buildings and the smart electric grids. The book also presents computational thinking and techniques such as inferencing and learning for energy management. To this end, this book is designed to help understand the recent research trends in energy management, focusing specifically on the efforts to increase energy efficiency of buildings, campuses, and cities--

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