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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書誌詳細

第一著者:	HASAN RAFI, SHAFIUL
フォーマット:	学位論文
言語:	英語
出版事項:	DEPARTMENT OF ELECTRICAL, ELECTRONIC AND COMMUNICATION ENGINEERING 2021
オンライン･アクセス:	http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/607
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