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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שמור ב:
מידע ביבליוגרפי
מחבר ראשי: HASAN RAFI, SHAFIUL
פורמט: Thesis
שפה:אנגלית
יצא לאור: DEPARTMENT OF ELECTRICAL, ELECTRONIC AND COMMUNICATION ENGINEERING 2021
גישה מקוונת:http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/607
תגים: הוספת תג
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פריטים דומים: SHORT TERM LOAD FORECASTING TECHNIQUE BASED ON INTEGRATION OF CONVOLUTIONAL NEURAL NETWORK AND LONG-SHORT-TERM MEMORY NETWORK