Amit Kumar Yadav

Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and PV Systems Optimization explores the utilization of advanced neural networks, machine learning and data analytics techniques for solar radiation prediction, solar energy forecasting, installation and maximum power generation. The book addresses relevant input variable selection, solar resource assessment, tilt angle calculation, and electrical characteristics of PV modules, including detailed methods, coding, modeling and experimental analysis of PV power generation under outdoor conditions. It will be of interest to researchers, scientists and advanced students across solar energy, renewables, electrical engineering, AI, machine learning, computer science, information technology and engineers. In addition, R&D professionals and other industry personnel with an interest in applications of AI, machine learning, and data analytics within solar energy and energy systems will find this book to be a welcomed resource.

This book will focus on design and development concepts related to remote operated forklift. The forklift is defined as a tool capable of lifting hundreds of kilograms of weight. It is a vehicle similar to small truck that has two metal forks on the front used to lift cargo. The operator drives the forklift forward the forks are pushed under the cargo, and then weight is lifted several feet in the air by operating the forks. The forks, also known as blades are usually made out of steel and can lift up to a few tons.