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.
Kishore Bingi & Neeraj Gupta
Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications [PDF ebook]
Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications [PDF ebook]
Kup ten ebook, a 1 kolejny otrzymasz GRATIS!
Język Angielski ● Format PDF ● Strony 252 ● ISBN 9781040016114 ● Redaktor Kishore Bingi & Neeraj Gupta ● Wydawca Taylor & Francis Ltd ● Opublikowany 2024 ● Do pobrania 3 czasy ● Waluta EUR ● ID 9401265 ● Ochrona przed kopiowaniem Adobe DRM
Wymaga czytnika ebooków obsługującego DRM