TY - CHAP
T1 - Machine Learning and Power System Planning
T2 - Opportunities and Challenges
AU - Asgharinejad Keisami, Mohammad Hosein
AU - Azad, Sasan
AU - Mohammadi Chabanloo, Reza
AU - Nazari-Heris, Morteza
AU - Asadi, Somayeh
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85117900152&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-77696-1_3
DO - 10.1007/978-3-030-77696-1_3
M3 - Chapter
AN - SCOPUS:85117900152
T3 - Power Systems
SP - 45
EP - 59
BT - Power Systems
PB - Springer Science and Business Media Deutschland GmbH
ER -