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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Bibliografski detalji
Glavni autor: HASAN RAFI, SHAFIUL
Format: Disertacija
Jezik:engleski
Izdano: DEPARTMENT OF ELECTRICAL, ELECTRONIC AND COMMUNICATION ENGINEERING 2021
Online pristup:http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/607
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Slični predmeti: SHORT TERM LOAD FORECASTING TECHNIQUE BASED ON INTEGRATION OF CONVOLUTIONAL NEURAL NETWORK AND LONG-SHORT-TERM MEMORY NETWORK