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

Synopsis

This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include: an exclusive section on essential preprocessing approaches for the data-driven model a detailed overview of data-driven model applications to power system planning and operational activities specific focus on developing forecasting models for renewable generations such as solar PV and wind power, and showcasing the judicious amalgamation of allied mathematical treatments such as optimization and fractional calculus in data-driven model-based frameworks This book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.

Copyright:

2024

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9781040016251

Related ISBNs:

9781032472065, 9781040016114, 9781003470274

Publisher:

CRC Press

Date of Addition:

05/09/24

Copyrighted By:

selection and editorial matter, B Rajanarayan Prusty, Neeraj Gupta, Kishore Bingi, and Rakesh Sehgal

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Technology

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

B Rajanarayan Prusty

Edited by:

Neeraj Gupta

Edited by:

Kishore Bingi

Edited by:

Rakesh Sehgal