Artificial Intelligence for Renewable Energy Systems (Artificial Intelligence and Soft Computing for Industrial Transformation) - Image 1

£100.00

John Wiley & Sons Inc Artificial Intelligence for Renewable Energy Systems (Artificial Intelligence and Soft Computing for Industrial Transformation)

Name: Artificial Intelligence for Renewable Energy Systems (Artificial Intelligence and Soft Computing for Industrial Transformation)
Brand: John Wiley & Sons Inc
Price: 100.0 GBP
Availability: InStock

AI & Machine Learning

Same price for 6 weeks. Today is much like next week.

£100 for 45 days straight · last change was May 2026

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 81 days · 81 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 81 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £100 (60 days, 74.1%)

Price range: £83 - £112

Price levels: 4 different prices over 81 days

Description

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Product Specifications

Brand: John Wiley & Sons Inc
Format: hardcover
ASIN: 1119761697
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 15 February 2022
Listed Since: 19 August 2021

Barcode

No barcode data available

John Wiley & Sons Inc Artificial Intelligence for Renewable Energy Systems (Artificial Intelligence and Soft Computing for Industrial Transformation)

Same price for 6 weeks. Today is much like next week.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Artificial Intelligence in Renewable Energy Systems: Empowering a Sustainable Future, Unleashing the Power of Smart Technology

AI Applications for Clean Energy and Sustainability

Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications (Intelligent Data-Driven Systems and Artificial Intelligence)

Analysis of Energy Systems: Management, Planning and Policy

Renewables in Future Power Systems: Implications of Technological Learning and Uncertainty (Green Energy and Technology)

Synergy Development in Renewables Assisted Multi-carrier Systems (Green Energy and Technology)

AI and IOT in Renewable Energy (Studies in Infrastructure and Control)

Optimization and Decision-Making in the Renewable Energy Industry

Soft Computing in Green and Renewable Energy Systems: 269 (Studies in Fuzziness and Soft Computing, 269)

Renewable Energy Systems: A Smart Energy Systems Approach to the Choice and Modeling of Fully Decarbonized Societies

Small-Scale Renewable Energy Systems: Independent Electricity for Community, Business and Home

Sustainability in Energy and Buildings: Proceedings of the 4th International Conference in Sustainability in Energy and Buildings (SEB´12): 22 (Smart Innovation, Systems and Technologies, 22)

Artificial Intelligence in Energy And Renewable Energy Systems

Renewable Energy and the Environment (Renewable Energy Sources & Energy Storage)

Renewable Energy and the Environment (Renewable Energy Sources & Energy Storage)

Artificial Intelligence for Energy Systems: Driving Intelligent, Flexible and Optimal Energy Management: 46 (Learning and Analytics in Intelligent Systems, 46)

Sustainability in Energy and Buildings: Results of the Second International Conference in Sustainability in Energy and Buildings (SEB'10): 7 (Smart Innovation, Systems and Technologies, 7)

Advances in Renewable Energies and Power Technologies: Volume 2: Biomass, Fuel Cells, Geothermal Energies, and Smart Grids

Integrating Variable Renewable Energy in Electricity Markets: International Experiences (Renewable Energy : Research, Development and Policies)

Energy Flows, Material Cycles and Global Development: A Process Engineering Approach to the Earth System (Environmental Science and Engineering)

International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018: Volume 2: 983 (Advances in Intelligent Systems and Computing, 983)

ICREGA’14 - Renewable Energy: Generation and Applications (Springer Proceedings in Energy)