Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications EPUB
Edited by B Rajanarayan Prusty, Neeraj Gupta, Kishore Bingi, Rakesh Sehgal
Part of the Intelligent Data-Driven Systems and Artificial Intelligence series
EPUB
Description
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.
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:252 pages
- Publisher:CRC Press
- Publication Date:09/05/2024
- Category:
- ISBN:9781040016251
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:252 pages
- Publisher:CRC Press
- Publication Date:09/05/2024
- Category:
- ISBN:9781040016251