SHORT TERM LOAD FORECASTING TECHNIQUE BASED ON INTEGRATION OF CONVOLUTIONAL NEURAL NETWORK AND LONG-SHORT-TERM MEMORY NETWORK
In this thesis work, a new technique is proposed to forecast short term electrical load. Load forecasting is an integral part of power system planning and operation. Precise forecasting of load is essential for unit commitment, capacity planning, network augmentation and demand side management. I...
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| Hoofdauteur: | |
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| Formaat: | Thesis |
| Taal: | Engels |
| Gepubliceerd in: |
DEPARTMENT OF ELECTRICAL, ELECTRONIC AND COMMUNICATION ENGINEERING
2021
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| Online toegang: | http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/607 |
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Gelijkaardige items: SHORT TERM LOAD FORECASTING TECHNIQUE BASED ON INTEGRATION OF CONVOLUTIONAL NEURAL NETWORK AND LONG-SHORT-TERM MEMORY NETWORK
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