2022/04/12 · This paper proposes a multi-task model, MultiDeT (Multiple-Decoder Transformer), which firstly adopts the one-encoder multi-decoder structure to realize the ...

The proposed model can handle the dependency between multienergy load and provide a more reliable multienergy load prediction.

2022/07/21 · This method, which is classified as a time-series forecasting method, uses prior features as inputs to forecast future energy loads.

2022/07/22 · This method, which is classified as a time-series forecasting method, uses prior features as inputs to forecast future energy loads. Unlike a ...

This paper proposes a sparse transformer based approach for electricity load prediction. The layers of a transformer addresses the shortcomings of RNNs and CNNs ...

2024/08/14 · The above-mentioned combined prediction of multi-energy load based on MTL and outperformed other single-task models.

Zhang, “A Transformer-Based Method of Multienergy Load Forecasting in Integrated Energy System,” IEEE Trans. Smart Grid, vol.13, no.4, pp.2703-2714, 2022 ...

2024/05/09 · For this specific environment, this paper proposes a multi-energy load forecasting method based on the neural network model and transfer ...

7 日前 · A transformer-based method of multienergy load forecasting in integrated energy system. IEEE Trans. Smart Grid 13, 2703–2714 (2022). Article ...

The paper presents Patchformer, a novel Transformer-based model for long-term multi-energy load forecasting. It addresses the challenges in IMES forecasting ...