Analysis of photovoltaic panels performance and power output forecasting based on optimized deep learning technique /
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2021.
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01595nam a2200373 i 4500 | ||
|---|---|---|---|
| 001 | u1151003 | ||
| 003 | SIRSI | ||
| 005 | 202112071032 | ||
| 008 | 211207s2021 my a m 000 0 eng | ||
| 040 | |a UMM |d UMJ |e rda | ||
| 090 | |a TK7 |b UMP 2021 Akh | ||
| 097 | |a TK7 |b UMP 2021 Akh | ||
| 100 | 1 | |a Akhter, Muhammad Naveed, |e author. | |
| 245 | 1 | 0 | |a Analysis of photovoltaic panels performance and power output forecasting based on optimized deep learning technique / |c Muhammad Naveed Akhter. |
| 264 | 1 | |c 2021. | |
| 300 | |a xxvi, 188 leaves : |b illustrations (some colour) ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 336 | |a still image |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc |2 rdacarrier | ||
| 502 | |b Ph.D. |c Jabatan Kejuruteraan Elektrik, Fakulti Kejuruteraan, Universiti Malaya |d 2021. | ||
| 504 | |a Bibiliography: leaves 161-174. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Photovoltaic power systems. | |
| 650 | 0 | |a Photovoltaic power generation. | |
| 650 | 0 | |a Solar energy. | |
| 650 | 0 | |a Renewable energy sources. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
| 900 | |a NNANS US | ||
| 596 | |a 1 7 | ||
| 999 | |a TK7 UMP 2021 AKH |w LC |c 1 |i A517719537 |f 14/3/2022 |g 2 |l RESTRICTED |m P01UTAMA |r Y |s Y |t TESIS |u 14/3/2022 |1 STEM |o .PUBLIC. Embargoed until 31.08.2023 |o .STAFF. Item kept in BPM 14.03.2022-nha | ||
| 999 | |a TK7 UMP 2021 AKH |w LC |c 1 |i A517733896 |f 29/3/2022 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 29/3/2022 |1 STEM |o .PUBLIC. |o .STAFF. MFA | ||
