Get Free Shipping on orders over $89
Artificial Intelligence for Renewable Energy Systems : Advances in Computational Collective Intelligence - Abhineet Anand

Artificial Intelligence for Renewable Energy Systems

By: Abhineet Anand (Editor), Srikanta Kumar Mohapatra (Editor), Monit Kapoor (Editor), Jayashree Mohanty (Editor), Anita Sardana (Editor)

Hardcover | 3 August 2026 | Edition Number 1

At a Glance

Hardcover


RRP $326.00

$280.99

14%OFF

or 4 interest-free payments of $70.25 with

 or 

Available: 3rd August 2026

Preorder. Will ship when available.

The application of artificial intelligence (AI) to the management and development of renewable energy sources has revolutionized the energy sector by enhancing efficiency, reliability, and scalability. With the capability to analyze weather patterns, solar radiation, and wind speeds, AI-driven technologies help ensure optimal utilization of such resources as solar panels and wind turbines. They also enable precise forecasting of energy production. Additionally, AI-powered systems can facilitate real-time monitoring and predictive maintenance of renewable energy infrastructure to reduce downtime and operational costs. With AI, the renewable energy industry can overcome challenges, maximize output, and contribute significantly to global efforts in combating climate change.

Artificial Intelligence for Renewable Energy Systems focuses on using AI technology to advance green energy and its management. Starting with an overview of applying AI to renewable energy management, the book follows with such real-world as:

  • Predictive analytics for wind turbine maintenance
  • Intelligent solar grid integration
  • Vehicle-to-grid (V2G) technology for electric mobility
  • Intelligent hydrogen fuel cell control.

It also features global trend research, methods for data-driven forecasting, and policymaking based on advanced data analytics and visualization.

Taking a multidisciplinary approach, the book is a guide for academics, energy practitioners, engineers, and policymakers who are leveraging the constructive collaboration between AI and renewable energy technologies.

More in Energy

More and More and More : An All-Consuming History of Energy - Jean-Baptiste Fressoz
Solar Power Forecasting : Using Time Series and Machine Learning - Natarajan  Gautam
Energy and Energy Transformation - Yongjian  Gu

RRP $252.00

$219.75

13%
OFF
Power Shift : Keywords for a New Politics of Energy - Imre Szeman
Energy Storage : Systems and Components - Alfred Rufer

RRP $273.00

$236.99

13%
OFF
Electrochemical Energy Storage for the Grid - Junbo Hou

RRP $273.00

$236.99

13%
OFF