EnLSTM-WPEO: Short-term traffic flow prediction by ensemble LSTM, NNCT weight integration, and population extremal optimization
Accurate and stable short-term traffic flow prediction is an indispensable part in current
intelligent transportation systems. In this paper, a novel short-term traffic flow forecasting …
intelligent transportation systems. In this paper, a novel short-term traffic flow forecasting …
Wind power prediction based on LSTM networks and nonparametric kernel density estimation
B Zhou, X Ma, Y Luo, D Yang - Ieee Access, 2019 - ieeexplore.ieee.org
Wind energy is a kind of sustainable energy with strong uncertainty. With a large amount of
wind power injected into the power grid, it will inevitably affect the security, stability and …
wind power injected into the power grid, it will inevitably affect the security, stability and …
Parallel LSTM‐Based Regional Integrated Energy System Multienergy Source‐Load Information Interactive Energy Prediction
The multienergy interaction characteristic of regional integrated energy systems can greatly
improve the efficiency of energy utilization. This paper proposes an energy prediction …
improve the efficiency of energy utilization. This paper proposes an energy prediction …