Enabling Methodologies for Renewable and Sustainable Energy

The present book aims to provide practical aspects and introduction to the application of various technological advancement tools viz. AI, machine learning to design, Big Data, Cloud Computing, and IoT to model, characterize, optimize, forecast, and performance prediction of renewable energy exploitation. It further discusses new avenues for energy sources such as hydrogen energy generation and energy storage technologies including existing policies and case studies for a better understanding of renewable energy generation.

Features:

• Covers technologies considered to explore, predict, operation and maintenance of renewable energy sources.
• Aids design and use of renewable energy sources including application of artificial intelligence in a real-time environment.
• Includes IoT, Cloud Computing, Big data, Smart Grid and different optimization techniques for resource forecasting, installation, operation, and optimization of energy.
• Discusses the principle of integration/hybridization of renewable energy sources along with their optimization based on energy requirement.
• Reviews concept and challenges involved in the implementation of smart grid.

This book aims at Researchers and graduate students in Renewable Energy Engineering, Computer and Mechanical Engineering, Novel Technologies, and Intelligent systems.