Identification of the probability of the park effect in a wave-to-power system using the analytical hierarchical process and a polynomial neural network model
Bibliographic Data
| ID | 21702962 |
|---|---|
| Authors | Satyabrata Saha (0000-0003-2848-2403, National Institute of Technology Agartala, corresponding author), Mrinmoy Majumder (0000-0001-6231-5989, National Institute of Technology Agartala), Manish Pal (0000-0003-2705-5477, National Institute of Technology Agartala) |
| Year | 2021 |
| Volume | 23 |
| Issue | 12 |
| Pages | 17403-17422 |
| Publication date | 2021-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment Development and Sustainability (JOURNAL) |
| Journal identifiers | ISSN: 1387-585X • E-ISSN: 1573-2975 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s10668-021-01391-3 |
| OpenAlex | W3155288438 |
| Language | EN |
| References cited | 24 |
Artificial neural network · Data mining · Linear regression · Polynomial · Polynomial regression · Shore · Statistics · Submarine pipeline · Computer Science · Engineering · Islanding Detection in Power Systems · Mathematics · Power System Optimization and Stability · Wave and Wind Energy Systems · Artificial Intelligence · Geology
| Highly cited | No |
|---|