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by Ajay Kumar Vyas, S. Balamurugan, Kamal Kant Hiran, Harsh S. Dhiman
Artificial Intelligence for Renewable Energy Systems
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Preface
1 Analysis of Six-Phase Grid Connected Synchronous Generator in Wind Power Generation
2 Artificial Intelligence as a Tool for Conservation and Efficient Utilization of Renewable Resource
3 Artificial Intelligence–Based Energy-Efficient Clustering and Routing in IoT-Assisted Wireless Sensor Network
4 Artificial Intelligence for Modeling and Optimization of the Biogas Production
5 Battery State-of-Charge Modeling for Solar PV Array Using Polynomial Regression
6 Deep Learning Algorithms for Wind Forecasting: An Overview
7 Deep Feature Selection for Wind Forecasting-I
8 Deep Feature Selection for Wind Forecasting-II
9 Data Falsification Detection in AMI: A Secure Perspective Analysis
10 Forecasting of Electricity Consumption for G20 Members Using Various Machine Learning Techniques
11 Use of Artificial Intelligence (AI) in the Optimization of Production of Biodiesel Energy
Index
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Artificial Intelligence for Renewable Energy Systems
Edited by
Ajay Kumar Vyas
S. Balamurugan
Kamal Kant Hiran
and
Harsh S. Dhiman
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