Verificar estado da encomenda

Faça parte de uma comunidade de amantes de livros de todo o mundo e tenha acesso a uma série de benefícios. Crie uma conta gratuitamente

Correio DHL 7.99 € Correio DPD 4.49 € Ponto DPD 3.99 € Correio GLS 5.49 € Correio MRW 5.49 € Ponto GLS 4.49 €

Contacto

Como comprar

Ajuda

A minha conta

▸ Vazio :-(

Livros em inglês > Informática & tecnologia da informação > Ciência informática > Inteligência artificial > Aprendizagem mecânica > Application of Machine Learning and Deep Learning Methods to Power System Problems

Application of Machine Learning and Deep Learning Methods to Power System Problems

Name: Application of Machine Learning and Deep Learning Methods to Power System Problems
Brand: Springer
SKU: 41013606
Price: 156.31 EUR
Availability: InStock
Author: Morteza Nazari-Heris
ISBN: 9783030776961

Morteza Nazari-Heris

Somayeh Asadi

Behnam Mohammadi-Ivatloo

Moloud Abdar

Houtan Jebelli

Milad Sadat-Mohammadi

Língua

Inglês

E-book Adobe ePub DRM

Código Libristo: 41013606

Editoras Springer, outubro 2021

This book evaluates the role of innovative machine learning and deep learning methods in dealing wit... Descrição completa

Código Libristo: 41013606

378 b

156.31 €

Em stock Imediatamente descarregável

Os clientes também compraram

Logik der Forschung Karl R. Popper

Capa mole

52.87 €

Jahrbücher des deutschen Reiches unter Heinrich IV. und Heinrich V. Gerold Meyer Von Knonau

Capa mole

37.71 €

56 Recetas de Jugos Para Incrementar la Fertilidad Correa

Capa mole

18.29 €

Tout savoir sur les virus et y faire face Willem

Capa mole

21.02 €

Abitibi-Témiscamingue Denys Chabot

Livro de capa dura

11.92 €

Science&Play Mechanická laboratoř Roadster a Dragster 2v1

Brinquedo

11.32 €

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.