| dc.contributor.author |
Sukumar, Shivashankar |
|
| dc.contributor.author |
Pindoriya, Naran M. |
|
| dc.contributor.author |
Singh, Sri Niwas |
|
| dc.coverage.spatial |
Singapore |
|
| dc.date.accessioned |
2021-05-14T05:18:40Z |
|
| dc.date.available |
2021-05-14T05:18:40Z |
|
| dc.date.issued |
2021 |
|
| dc.identifier.citation |
Sukumar, Shivashankar; Pindoriya, Naran M. and Singh, Sri Niwas, "Short-term solar PV generation forecast using neural networks and deep learning models", in Fundamentals and innovations in solar energy, DOI: 10.1007/978-981-33-6456-1_7, Singapore: Springer Nature, pp. 127-140, 2021, ISBN: 9789813364561. |
en_US |
| dc.identifier.isbn |
9.78981E+12 |
|
| dc.identifier.uri |
http://dx.doi.org/10.1007/978-981-33-6456-1_7 |
|
| dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/6411 |
|
| dc.description.abstract |
Sukumar, Shivashankar; Pindoriya, Naran M. and Singh, Sri Niwas, "Short-term solar PV generation forecast using neural networks and deep learning models", in Fundamentals and innovations in solar energy, DOI: 10.1007/978-981-33-6456-1_7, Singapore: Springer Nature, pp. 127-140, 2021, ISBN: 9789813364561. |
|
| dc.description.statementofresponsibility |
by Shivashankar Sukumar, Naran M. Pindoriya and Sri Niwas Singh |
|
| dc.format.extent |
pp. 127-140 |
|
| dc.language.iso |
en_US |
en_US |
| dc.publisher |
Springer Nature |
en_US |
| dc.title |
Short-term solar PV generation forecast using neural networks and deep learning models |
en_US |
| dc.type |
Book Chapter |
en_US |
| dc.relation.journal |
Fundamentals and innovations in solar energy |
|