Sustainable Smart Homes and Buildings with Internet of Things

Pramod Singh Rathore, Abhishek Kumar, Surbhi Bhatia, Arwa Mashat, Thippa Reddy Gadekal

• Publisher: Wiley-Scrivener
• Year: 2024
• Print ISBN: 9781394231485
• eBook ISBN: 9781394231515
• Edition: 1
• Topic: Architecture
• Subtopic: Sustainability in Architecture

Written and edited by a team of experts in the field, this exciting new volume explores the real-world applications and methods for using Internet of Things (IoT) to make homes and buildings smart and sustainable and to continue working toward a "greener" world.

Sustainable Smart Homes and Buildings with Internet of Things (IoT) is a book that explores the integration of renewable energy sources and IoT technology in the design and management of smart homes and buildings. The book covers various topics related to the subject, including energy efficiency, real-time monitoring, control and optimization of renewable energy sources, smart grid integration, energy storage systems, and microgrids.

The book explains how IoT technology can be used to collect data from various sensors and devices installed in smart homes and buildings to create a real-time monitoring and control system for renewable energy sources, which can help optimize energy usage and reduce waste. It also discusses the challenges and opportunities associated with the integration of renewable energy sources in smart homes and buildings, and how these challenges can be addressed through the use of IoT technology.

The book is intended for architects, engineers, building managers, energy professionals, and researchers interested in the design and management of sustainable smart homes and buildings. It provides practical insights, case studies, and examples that illustrate the benefits of using renewable energy sources and IoT technology to create energy-efficient, environmentally friendly, and comfortable living spaces.

Table of contents

• Cover
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• Chapter 1 Development of a Framework to Integrate Smart Home and Energy Operation Systems to Manage Energy Efficiency Through AI
• Chapter 2 Development of a Hybrid System to Make the Decision and Optimization of Renewable Energy Sources
• Chapter 3 IoT-Based Renewable Energy Management Systems in Apartment
• Chapter 4 Framework of IoT-Based Meta Firewall System to Plan the Renewable Energy Consumption in Smart Homes or Buildings
• Chapter 5 Manage and Optimization of Renewable Energy Consumption Efficiency for Smart Homes
• Chapter 6 Cost and Renewable Energy Management by IoT-Oriented Smart Home Based on Smart Grid Demand Response
• Chapter 7 IoT-Based Smart Green Building Energy Management System
• Chapter 8 The Framework of IoT-Based Paradigms to Renewable Power Utilization and Distribution by Microgrid
• Chapter 9 Machine Learning-Based Swarm Optimization for Residential Demand-Based Electricity
• Chapter 10 Integration of Intelligent System and Big Data Environment to Find the Energy Utilization in Smart Public Buildings
• Chapter 11 Multi-Objective Optimization Process to Analyze the Renewable Energy Storage and Distribution System from the Grid
• Chapter 12 Deep Learning and Multi-Horizontal Solar Energy Forecasting of Different Weather Conditions in Smart Cities
• Chapter 13 Machine Learning Models are Used to Analyze the Effectiveness of Daily Residential Area Energy Consumption
• Chapter 14 Integration of AI and IoT Used to Manage and Secure the Renewable Energy Management in the Environment
• Chapter 15 Hybrid Genetic Optimization and Particle Swarm Optimization for Enhanced Electricity Demand Forecasting Using Artificial Neural Networks
• Chapter 16 Harmonizing Renewable Energy, IoT, and Economic Prosperity: A Multifaceted Analysis
• Chapter 17 An Optimized Demand for Cost and Environment Benefits Towards Smart Residentials Using IOT and Machine Learning
• 18 IoT-Enabled RBFNN MPPT Algorithm for High Gain SEPIC Converter in Grid-Tied Rooftop PV Applications
• Index
• Also of Interest
• EULA