Towards traffic matrix prediction with LSTM recurrent neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2018.0336
Abstract: This Letter investigates traffic matrix (TM) prediction that is widely used in various network management tasks. To fastly and accurately attain timely TM estimation in large-scale networks, the authors propose a deep architecture based on… read more here.
Keywords: traffic; lstm recurrent; matrix prediction; recurrent neural ... See more keywords
Short-Term Non-Residential Load Forecasting Based on Multiple Sequences LSTM Recurrent Neural Network
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2873712
Abstract: The energy consumption by non-residential consumers in China accounts for a significant proportion of the total energy consumption in the society. Thus, accurate non-residential load forecasting plays an increasingly essential role in the future grid… read more here.
Keywords: residential consumers; load forecasting; lstm recurrent; residential load ... See more keywords