Electricity load forecasting under extreme heat and cold waves. [PDF]
Lu N +6 more
europepmc +1 more source
Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source
A hybrid LSTM-transformer model for short-term urban electricity load forecasting: a two-city case study. [PDF]
Liu H +5 more
europepmc +1 more source
Energy Consumption and Carbon Emission Prediction of District Heating System in Residential Communities Based on SSA-LSTM Model. [PDF]
Zhao B, Xu L, Zheng Z, Wu Y, Yuan T.
europepmc +1 more source
Gated Residual Fusion Framework for Mitigating Error Accumulation in Multistep NOx Prediction for Utility CFB Boilers. [PDF]
Liao G +5 more
europepmc +1 more source
A multi-component hybrid model for renewable energy integrated grid power load forecasting: DWT, SAE, and FA-LSTM. [PDF]
Peng S, Zhu J.
europepmc +1 more source
DG-LSTM-SA model: A deep gated LSTM network with self-attention mechanism for power generation and load forecasting. [PDF]
Sun G, Zhao Y, Li J, Cui J, Qi X.
europepmc +1 more source
OCPP integrated artificial intelligence for forecasting scheduling and anomaly detection in city scale electric vehicle charging under urban tariffs. [PDF]
Hossen MS +4 more
europepmc +1 more source

