Artificial Intelligence and Internet of Things for Renewable Energy Systems

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

Auteur

N.Priyadarshi, S.Padmanaban, J.B. Holm-Nielson, Aalborg University, Denmark; K.K.Hiran, Udaipur University, India.

Résumé
THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE

The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research findings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the field and create a broad knowledge about the most recent research.

Series Editor

Dr. Siddhartha Bhattacharyya, CHRIST (Deemed to be University), Bangalore, India Editorial Advisory Board

Dr. Elizabeth Behrman, Wichita State University, Kansas, USA

Dr. Goran Klepac

Dr. Leo Mrsic, Algebra University College, Croatia

Dr. Aboul Ella Hassanien, Cairo University, Egypt

Dr. Jan Platos, VSB-Technical University of Ostrava, Czech Republic

Dr. Xiao-Zhi Gao, University of Eastern Finland, Finland

Dr. Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil