Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/547624
| Title: | Investigation of accurate consumer electricity bill prediction using enhanced long short term memory |
| Researcher: | Raghupathi, C |
| Guide(s): | Prakash, R |
| Keywords: | electricity demand energy consumption Engineering Engineering and Technology Engineering Electrical and Electronic technological breakthroughs |
| University: | Anna University |
| Completed Date: | 2022 |
| Pagination: | xiii,124p. |
| URI: | http://hdl.handle.net/10603/547624 |
| Appears in Departments: | Faculty of Electrical Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 24.04 kB | Adobe PDF | View/Open |
| 02_prelim pages.pdf | 3.03 MB | Adobe PDF | View/Open | |
| 03_content.pdf | 117.29 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 108.57 kB | Adobe PDF | View/Open | |
| 05_chapter1.pdf | 1.15 MB | Adobe PDF | View/Open | |
| 06_chapter2.pdf | 302.56 kB | Adobe PDF | View/Open | |
| 07_chapter3.pdf | 920.89 kB | Adobe PDF | View/Open | |
| 08_chapter4.pdf | 271.61 kB | Adobe PDF | View/Open | |
| 09_annexures.pdf | 140.16 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 72.33 kB | Adobe PDF | View/Open |
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