Case study of short-term electricity load forecasting with temperature dependency
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 hal...
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| Format: | Undergraduates Project Papers |
| Language: | English |
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2009
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| Online Access: | http://umpir.ump.edu.my/id/eprint/1951/ http://umpir.ump.edu.my/id/eprint/1951/ http://umpir.ump.edu.my/id/eprint/1951/1/Tai_Hein_Fong_%28_CD_5372_%29.pdf |
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ump-19512015-03-03T07:53:46Z http://umpir.ump.edu.my/id/eprint/1951/ Case study of short-term electricity load forecasting with temperature dependency Tai, Hein Fong TK Electrical engineering. Electronics Nuclear engineering 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. 2009-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1951/1/Tai_Hein_Fong_%28_CD_5372_%29.pdf Tai, Hein Fong (2009) Case study of short-term electricity load forecasting with temperature dependency. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:55190&theme=UMP2 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Tai, Hein Fong Case study of short-term electricity load forecasting with temperature dependency |
| description |
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. |
| format |
Undergraduates Project Papers |
| author |
Tai, Hein Fong |
| author_facet |
Tai, Hein Fong |
| author_sort |
Tai, Hein Fong |
| title |
Case study of short-term electricity load forecasting with temperature dependency |
| title_short |
Case study of short-term electricity load forecasting with temperature dependency |
| title_full |
Case study of short-term electricity load forecasting with temperature dependency |
| title_fullStr |
Case study of short-term electricity load forecasting with temperature dependency |
| title_full_unstemmed |
Case study of short-term electricity load forecasting with temperature dependency |
| title_sort |
case study of short-term electricity load forecasting with temperature dependency |
| publishDate |
2009 |
| url |
http://umpir.ump.edu.my/id/eprint/1951/ http://umpir.ump.edu.my/id/eprint/1951/ http://umpir.ump.edu.my/id/eprint/1951/1/Tai_Hein_Fong_%28_CD_5372_%29.pdf |
| first_indexed |
2023-09-18T21:55:20Z |
| last_indexed |
2023-09-18T21:55:20Z |
| _version_ |
1777414040647106560 |