Back to Search Start Over

Machine Learning and Power System Planning: Opportunities and Challenges

Authors :
Somayeh Asadi
Mohammad Hosein Asgharinejad Keisami
Morteza Nazari-Heris
Reza Mohammadi Chabanloo
Sasan Azad
Source :
Application of Machine Learning and Deep Learning Methods to Power System Problems ISBN: 9783030776954
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

Abstract

Machine learning (ML) methods and their applications are among the most innovative and attractive engineering topics. The advent of artificial intelligence has given birth to various tools widely used in science and engineering. ML is utilized in solving various problems in the power system engineering community, such as power system planning and operation. In this chapter, the authors will investigate different machine learning methods, and we will discuss their applications in solving power system planning problems, including load forecasting. The authors will discuss different ML methods used in the power engineering field, and other ML applications in planning problems such as optimization problems will be studied. This chapter’s main objective is to serve as an introduction to ML for power system planning and the basic concepts of the ML methods commonly used in this field.

Details

ISBN :
978-3-030-77695-4
ISBNs :
9783030776954
Database :
OpenAIRE
Journal :
Application of Machine Learning and Deep Learning Methods to Power System Problems ISBN: 9783030776954
Accession number :
edsair.doi...........eb4407672785b97d62466c8f0e369434