Application of Machine Learning and Deep Learning Methods to Power System Problems
Morteza Nazari-Heris , Somayeh Asadi , Behnam Mohammadi-Ivatloo , Moloud Abdar , Houtan Jebelli , Milad Sadat-Mohammadi
Informasi Umum
Kode
22.21.1350
Klasifikasi
006.31 - Machine Learning
Jenis
Buku - Elektronik (E-Book)
Subjek
Machine Learning
No. Rak
Dilihat
273 kali
Informasi Lainnya
Abstraksi
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.
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
Anda harus log in untuk mengakses flippingbook
Pengarang
| Nama | Morteza Nazari-Heris , Somayeh Asadi , Behnam Mohammadi-Ivatloo , Moloud Abdar , Houtan Jebelli , Milad Sadat-Mohammadi |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Springer |
| Kota | New York |
| Tahun | 2021 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
