Harsh S. Dhiman is a research scholar in Department of Electrical Engineering from Institute of Infrastructure Technology Research and Management (IITRAM), Ahmedabad, India. He obtained his Master’s degree in Electrical Power Engineering from Faculty of Technology & Engineering, The Maharaja Sayajirao University of Baroda, Vadodara, India in 2016 and B. Tech in Electrical Engineering from Institute of Technology, Nirma University, Ahmedabad, India in 2014. His current research interests include Hybrid operation of wind farms, Hybrid wind forecasting techniques and Wake management in wind farms.
Télécharger le livre :  Artificial Intelligence for Renewable Energy Systems

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine...
Editeur : Wiley-Scrivener
Parution : 2022-01-28
Collection : Artificial Intelligence and Soft Computing for Industrial Transformation
Format(s) : PDF, ePub
221,37

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Télécharger le livre :  Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression...
Editeur : Academic Press
Parution : 2020-01-21

Format(s) : epub sans DRM
131,89

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Télécharger le livre :  Decision and Control in Hybrid Wind Farms

This book focuses on two of the most important aspects of wind farm operation: decisions and control. The first part of the book deals with decision-making processes, and explains that hybrid wind farm operation is governed by a set of alternatives that the wind farm...
Editeur : Springer
Parution : 2019-09-28
Collection : Studies in Systems, Decision and Control
Format(s) : PDF, ePub
108,89

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