Can I read Introduction to Renewable Energy Prediction Methods on EtoBox?

Introduction to Renewable Energy Prediction Methods by Saqib Yousuf; Junaid Hussain Lanker; Insha; Zarka Mirza; Neeraj Gupta; Ravi Bhushan; Anuradha Tomar is a book available to read on EtoBox.

What is Introduction to Renewable Energy Prediction Methods about?

Renewable energy prediction began in the early years of the twenty-first century. As there is so much uncertainty in forecasting the renewable energy, several different approaches have been developed. The forecasting methodologies are very difficult to label because each model predicts a different set of installed and generation capabilities, cost of production, demand and supply, etc. There are several techniques used to predict renewable energy, including assessing the current situation or projecting the future while concentrating on a particular target of interest. Prediction techniques for renewable energy provide valuable information about the potential changes in the energy that will be generated in the near future. This chapter provides the various artificial intelligence techniques used for more significant prediction of renewable energy, and also their application is discussed. This includes AI for wind prediction methods, AI for solar prediction methods, and other energy prediction models such as time series models, unit root test and co-integration models, ANN models, and expert systems. These techniques are area and time dependent based on the idea that weather variable

Author

Saqib Yousuf; Junaid Hussain Lanker; Insha; Zarka Mirza; Neeraj Gupta; Ravi Bhushan; Anuradha Tomar

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2023

Language

EN

ISBN

9789811964909

Subjects

Engineering, Computer Science, Stem