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...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Tesis |
| Lenguaje: | inglés |
| Publicado: |
DEPARTMENT OF ELECTRICAL, ELECTRONIC AND COMMUNICATION ENGINEERING
2021
|
| Acceso en línea: | http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/607 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: SHORT TERM LOAD FORECASTING TECHNIQUE BASED ON INTEGRATION OF CONVOLUTIONAL NEURAL NETWORK AND LONG-SHORT-TERM MEMORY NETWORK
- SHORT TERM LOAD FORECASTING TECHNIQUE BASED ON INTEGRATION OF CONVOLUTIONAL NEURAL NETWORK AND LONG-SHORT-TERM MEMORY NETWORK /
- EVALUATION OF PROPERTIES OF GEOJUTE AND ITS ASSESSMENT FOR SHORT TERM AND LONG TERM CIVIL ENGINEERING APPLICATIONS /
- Short-term trading with price patterns : a systematic methodology for the development, testing, and use of short-term trading systems /
- SHORT-TERM DURABILITY OF RUBBERIZED RECYCLED AGGREGATE CONCRETE IN DIFFERENT ENVIRONMENTS /
- LONG TERM ENERGY DEMAND FORECASTING AND PROSPECT OF RENEWABLE ENERGY TECHNOLOGIES IN POWER SECTORS OF BANGLADESH /
- Short stories : 1971 /