Mppt Based Performance Enhancement Ofintegrated Hybrid Wind Solar Energy System


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MPPT BASED PERFORMANCE ENHANCEMENT OFINTEGRATED HYBRID WIND - SOLAR ENERGY SYSTEM


MPPT BASED PERFORMANCE ENHANCEMENT OFINTEGRATED HYBRID WIND - SOLAR ENERGY SYSTEM

Author: Mrs.G.Ujwala

language: en

Publisher: Archers & Elevators Publishing House

Release Date:


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Intelligent Renewable Energy Systems


Intelligent Renewable Energy Systems

Author: Neeraj Priyadarshi

language: en

Publisher: John Wiley & Sons

Release Date: 2021-12-29


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INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Proceedings of Integrated Intelligence Enable Networks and Computing


Proceedings of Integrated Intelligence Enable Networks and Computing

Author: Krishan Kant Singh Mer

language: en

Publisher: Springer Nature

Release Date: 2021-04-23


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This book presents best selected research papers presented at the First International Conference on Integrated Intelligence Enable Networks and Computing (IIENC 2020), held from May 25 to May 27, 2020, at the Institute of Technology, Gopeshwar, India (Government Institute of Uttarakhand Government and affiliated to Uttarakhand Technical University). The book includes papers in the field of intelligent computing. The book covers the areas of machine learning and robotics, signal processing and Internet of things, big data and renewable energy sources.