Demand Response in Smart Microgrids: Advanced and Optimal Energy Management Strategies (Studies in Systems, Decision and Control, 619) - Image 1

£121.12

Springer Demand Response in Smart Microgrids: Advanced and Optimal Energy Management Strategies (Studies in Systems, Decision and Control, 619)

Name: Demand Response in Smart Microgrids: Advanced and Optimal Energy Management Strategies (Studies in Systems, Decision and Control, 619)
Brand: Springer
Price: 121.12 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£121 today · cheaper than every other day in the last 9 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 159 days • 143 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 159 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £140 (105 days, 73.4%)

Price range: £121 - £140

Price levels: 2 different prices over 143 days

Description

This book covers the optimization of the energy flow management of a grid-tied photovoltaic-wind-battery energy storage system and the development of demand response algorithms for a single customer at the lowest level and extended it to a large community of participants at the highest level. Hence, this book consists of two parts. The first part is devoted to the design of energy management strategies for a residential PV-WT system, while considering time of use and feed in tariff schemes. Further, the developed management algorithms mitigate the greenhouse gas emissions. Additionally, a closed-loop control based-model predictive control scheme, to forecast the system behavior and deal with renewable energy resources and load disturbances, is elaborated. The second part is dedicated to developing eﬀective demand side management techniques and cooperative energy scheduling in the framework of collective smart-buildings. Cooperative energy scheduling programs are designed while considering three objectives: minimizing peak load, minimizing electricity cost, and avoiding the occurrence of rebound peaks. Optimal consumption decisions are examined in residential, commercial, and industrial areas. Besides, the impact of electric vehicle charging methods is investigated for diﬀerent EV penetration levels. Also, a game theory approach for energy consumption scheduling of a community of smart microgrids is built. In summary, this book successfully establishes the important synergy between microgrid energy management and demand response at the level of a smart home and an aggregated building community. The above aspects are illustrated in this book in 12 chapters. The scope is broad. This book chapters are very effective in theoretical analysis and design of optimization algorithms in the realm of smart grids. This book is intended to provide advanced undergraduate, graduate students, engineers, researchers on energy management within smart homes and clustered buildings, with a comprehensive understanding of various methods and designed algorithms. These strategies and algorithms aim to deal with defies ranging from augmented adoption of microgrids to the introduction of demand response approaches, to enhance the grid viability and resilience.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3032024919
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 15 October 2025
Listed Since: 11 July 2025

Barcode

No barcode data available

Springer Demand Response in Smart Microgrids: Advanced and Optimal Energy Management Strategies (Studies in Systems, Decision and Control, 619)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Smart Grids for Renewable Energy Systems, Electric Vehicles and Energy Storage Systems

Multi-criteria Decision Making for Smart Grid Design and Operation: A Society 5.0 Perspective (Disruptive Technologies and Digital Transformations for Society 5.0)

Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems: An Optimal Integration Of Renewable Energy Resources Into Grid: ... in Systems, Decision and Control, 434)

Microgrids: Theory and Practice (IEEE Press Series on Power and Energy Systems)

Design, Control, and Operation of Microgrids in Smart Grids (Power Systems)

Microgrid Technologies

Model Predictive Control of Microgrids (Advances in Industrial Control)

Distributed Generation: Systems, Performance & Emerging (Electrical Engineering Developments)

Smart and Sustainable Power Systems: Operations, Planning, and Economics of Insular Electricity Grids

Smart and Sustainable Power Systems: Operations, Planning, and Economics of Insular Electricity Grids

Microgrid: Advanced Control Methods and Renewable Energy System Integration

Smart Grid: Integrating Renewable, Distributed & Efficient Energy

Operation of Smart Homes (Power Systems)

Smart Microgrids: From Design to Laboratory-Scale Implementation

Distributed Energy Resources in Local Integrated Energy Systems: Phytotoxins and Natural Defenses: Optimal Operation and Planning

Fundamentals of Microgrids: Development and Implementation

Reinventing the Power Grid: Renewable Energy, Storage, and Grid Modernization

Data Science of Renewable Energy Integration: The Nexus of Energy, Environment, and Economic Growth: 30 (Evolutionary Economics and Social Complexity Science, 30)

Data Science of Renewable Energy Integration: The Nexus of Energy, Environment, and Economic Growth: 30 (Evolutionary Economics and Social Complexity Science, 30)

Smart Power Distribution Network: Situation Awareness, Planning, and Operation (Power Systems)

Smart Grid Systems: Modeling and Control

Microgrids: Advances in Operation, Control, and Protection (Power Systems)

Smart Grids from a Global Perspective: Bridging Old and New Energy Systems (Power Systems)

Electric Vehicle Integration in a Smart Microgrid Environment