ENHANCEMENT OF SHORT-TERM LOAD FORECASTING BASED ON PARALLEL HYBRID WAVELET NEURAL NETWORK
Short-term load forecasting (STLF) is the prediction of load demands from one hour to one week which crucially is used for operation and planning of the electric power system. Load demands are nonstationary processes and sensitive to the weather conditions. Due to these challenges, STLF requires...
| Main Author: | SOVANN , NARIN |
|---|---|
| Format: | Thesis |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.21856 / |
| Published: |
2016
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| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/21856/1/2016%20-%20%20ELECTRICAL%20-%20ENHANCEMENT%20OF%20SHORT-TERM%20LOAD%20FORECASTING%20BASED%20ON%20PARALLEL%20HYBRID%20WAVELET%20NEURAL%20NETWORK-SOVANN%20NARIN-MASTER%20OF%20SCIENCE%20ELECTRICAL%20AND.pdf http://utpedia.utp.edu.my/21856/ |
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