Utilizing Machine Learning to Evaluate the Impact of Policy Shift for Scheduling Mechanism of IPPs to Mitigate Power and Economic Deficit / (Record no. 601847)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00542nam a2200145Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230907s9999||||xx |||||||||||||| ||und|| |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.3 |
| Author Mark | BIL |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bilal Asghar Farooqi (00000202977) |
| 9 (RLIN) | 116467 |
| 245 #0 - TITLE STATEMENT | |
| Title | Utilizing Machine Learning to Evaluate the Impact of Policy Shift for Scheduling Mechanism of IPPs to Mitigate Power and Economic Deficit / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | USPCAS-E, NUST, |
| Name of publisher, distributor, etc. | Islamabad : |
| Date of publication, distribution, etc. | 2019 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | TH-168 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS-EEP Thesis MS Thesis |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dr Syed Ali Abbas Kazmi |
| 9 (RLIN) | 117439 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Thesis |
| Source of classification or shelving scheme | |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| US-Pakistan Center for Advanced Studies in Energy (USPCAS-E) | US-Pakistan Center for Advanced Studies in Energy (USPCAS-E) | 10/17/2019 | 621.3 BIL | CAS-ETH0000168 | 09/12/2023 | 09/12/2023 | Thesis |