Name: Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications (Intelligent Data-Driven Systems and Artificial Intelligence) (en Inglés)
Price: 91.28 USD
Availability: InStock
Author: Prusty B. Rajanarayan,Gupta Neeraj,Bingi Kishore
ISBN: 9781032472065

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

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

Formato

Libro Físico

Editorial

Crc Press

Autor

Prusty B. Rajanarayan,Gupta Neeraj,Bingi Kishore

Idioma

Inglés

N° páginas

252

Encuadernación

Tapa Dura

ISBN13

9781032472065

N° edición

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

Prusty B. Rajanarayan,Gupta Neeraj,Bingi Kishore (Autor) · Crc Press · Tapa Dura

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Reseña del libro "Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications (Intelligent Data-Driven Systems and Artificial Intelligence) (en Inglés)"

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.