Time series analysis and improved deep learning model for electricity price forecasting /
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2022.
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01539nam a2200361 i 4500 | ||
|---|---|---|---|
| 001 | u1157863 | ||
| 003 | SIRSI | ||
| 005 | 202209120920 | ||
| 008 | 220912s2022 my a m 000 0 eng | ||
| 040 | |a UMM |e rda | ||
| 090 | |a TK7 |b UM 2022 Iqb | ||
| 097 | |a TK7 |b UM 2022 Iqb | ||
| 100 | 1 | |a Iqbal, Md Rashed, |e author. | |
| 245 | 1 | 0 | |a Time series analysis and improved deep learning model for electricity price forecasting / |c Md Rashed Iqbal. |
| 264 | 1 | |c 2022. | |
| 300 | |a xvi, 88 leaves : |b illustrations ; |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 M.Eng. |c Jabatan Kejuruteraan Elektrik, Fakulti Kejuruteraan, Universiti Malaya |d 2022. | ||
| 504 | |a Bibliography: leaves 83-87. | ||
| 530 | |a Also issued in CD. | ||
| 596 | |a 1 7 | ||
| 650 | 0 | |a Electricity |x Prices. | |
| 650 | 0 | |a Time-series analysis. | |
| 650 | 0 | |a Deep learning (Machine learning) | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
| 900 | |a US | ||
| 999 | |a TK7 UM 2022 IQB |w LC |c 1 |i A517628561 |f 23/11/2022 |g 1 |l RESTRICTED |m P01UTAMA |r Y |s Y |t TESIS |u 13/9/2022 |1 STEM |o .PUBLIC. Embargoed until 20.06.2024 |o .STAFF. Item kept in BPM 23.11.2022 | ||
| 999 | |a TK7 UM 2022 IQB |w LC |c 1 |i A517738920 |f 3/3/2023 |g 1 |l RESTRICTED |m P07JURUTER |r Y |s Y |t TESIS |u 3/3/2023 |1 STEM |o .PUBLIC. Embargoed until 20/06/2024 |o .STAFF. Item kept in the Engineering Library | ||