SPATIO-TEMPORAL GRAPH NEURAL NETWORK-BASED TIME-SERIES FORECASTING: CASE STUDIES ON REGIONAL GRID DEMAND AND WIND POWER GENERATION DATA /
সংরক্ষণ করুন:
| প্রধান লেখক: | |
|---|---|
| সংস্থা লেখক: | |
| বিন্যাস: | গ্রন্থ |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
Dhaka :
EECE DEPT. MIST,
c2026.
|
| বিষয়গুলি: | |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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অনুরূপ উপাদানগুলি: SPATIO-TEMPORAL GRAPH NEURAL NETWORK-BASED TIME-SERIES FORECASTING: CASE STUDIES ON REGIONAL GRID DEMAND AND WIND POWER GENERATION DATA /
- ADVANCED TIME SERIES FORECASTING FOR BANGLADESH'S ENERGY GRID: OPTIMIZING LSTM AND BILSTM MODELS WITH GENETIC ALGORITHMS FOR IMPROVED ACCURACY /
- SPATIO-TEMPORAL TRENDS OF URBAN GROWTH AND ITS HEAT ISLAND EFFECTS USING MACHINE LEARNING ALGORITHMS FOR DHAKA CITY /
- WEATHER FORECASTING USING ARTIFICIAL NEURAL NETWORK /
- PHYLOGENETIC-INFORMED GRAPH NEURAL NETWORK FOR DRUG REPOSITIONING /
- Business forecasting /
- SOLAR AND WIND HYBRID POWER GENERATION SYSTEM /