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Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications
Hardcover
Series: Intelligent Data-Driven Systems and Artificial Intelligence
ISBN13: 9781032472065
Publisher: CRC Press
Published: May 9 2024
Pages: 238
Weight: 1.17
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
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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