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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Hlavní autor:	HASAN RAFI, SHAFIUL
Médium:	Diplomová práce
Jazyk:	angličtina
Vydáno:	DEPARTMENT OF ELECTRICAL, ELECTRONIC AND COMMUNICATION ENGINEERING 2021
On-line přístup:	http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/607
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!