Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications
商品資訊
系列名：Intelligent Data-Driven Systems and Artificial Int
ISBN13：9781032472065
出版社：PBKTYFRL
作者：Prusty; B Rajanarayan; Gupta; Neeraj (NIT Srinagar; India.); Bingi; Kishore; Sehgal; Rakesh (NIT Srinagar; India)
出版日：2024/04/22
裝訂／頁數：精裝／120頁
規格：15.6cm*23.4cm (高/寬)
商品簡介
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.
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