Case study of short-term electricity load forecasting with temperature dependency / (Record no. 2569)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01915nam a2200253 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | vtls000055190 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251114204452.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 110804t2009 my a f m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | THE0006681(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] | |
| Level of rules in bibliographic description | 201905171506 |
| Level of effort used to assign nonsubject heading access points | amirul |
| -- | 201108041004 |
| -- | Fida |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | TK1005 .T35 2009 rs Bc. |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Tai, Hein Fong |
| 245 10 - TITLE STATEMENT | |
| Title | Case study of short-term electricity load forecasting with temperature dependency / |
| Statement of responsibility, etc. | Tai Hein Fong |
| 246 3# - VARYING FORM OF TITLE | |
| Title proper/short title | Case study of short-term electricity load forecasting with temperature dependency |
| Medium | [computer file] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Kuantan, Pahang : |
| Name of publisher, distributor, etc. | UMP, |
| Date of publication, distribution, etc. | 2009 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiv, 112 p. : |
| Other physical details | ill. (some col.) ; |
| Dimensions | 30 cm. + |
| Accompanying material | 1 computer disc |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Project paper (Bachelor of Electrical Engineering (Power System)) -- Universiti Malaysia Pahang - 2009 |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | Load forecasting is very essential to the operation of electricity companies. It enhances the energy-efficient and reliable operation of a power system. This is a case study of short-term load forecasting using Artificial Neural Networks (ANNs). This load forecasting program gives load forecasts half an hour in advance. Historical load data obtained from the electricity generation company will be use. The main stages are the pre-processing of the data sets, network training, and forecasting. The inputs used for the neural network are one set of historical load demand data and five sets of temperature data. The neural network used has 3 layers: an input, a hidden, and an output layer. The input layer has 5 neurons, the number of hidden layer neurons can be varied for the different performance of the network, while the output layer has a single neuron. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electric power-plants |
| General subdivision | Load |
| -- | Forecasting |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electric power systems |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not lost | Not for loan | UMPLIB PEKAN | UMPLIB PEKAN | 04/09/2019 | TK1005 .T35 2009 rs Bc. | 0000058382 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report | |||
| Not lost | Not for loan | UMPLIB PEKAN | UMPLIB PEKAN | 04/09/2019 | CD 5372 | TK1005 .T35 2009 rs Bc. | 0000058383 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report |