Ein hybrides RNN-Modell für die mittel- bis langfristige Vorhersage des Strombedarfs unter Berücksichtigung von Wettereinflüssen.
Jieyang PengDongkun WangAndreas KimmigMikhail A. LangovoyJiahai WangJivka OvtcharovaPublished in: Autom. (2021)
Keyphrases
- recurrent neural networks
- bit error rate
- error rate
- nearest neighbor
- joint source and channel coding
- computer simulation
- neural network
- signal to noise ratio
- physical layer
- multipath
- ofdm system
- channel capacity
- mimo systems
- vector quantization
- analytical model
- data mining
- machine learning
- scalable video
- fading channels
- wireless channels
- motion estimation
- decision trees
- hidden markov models
- wireless sensor networks
- knn