A recursive polynomial grey prediction model with adaptive structure and its application
L Liu, S Liu, Y Yang, Z Fang, S Xu - Expert Systems with Applications, 2024 - Elsevier
As a sparse data analysis algorithm, ensuring a reasonable model structure is an important
challenge for grey models to identify the control mechanism of the uncertain system from …
challenge for grey models to identify the control mechanism of the uncertain system from …
Electricity demand error corrections with attention bi-directional neural networks
Reliable forecast of electricity demand is crucial to stability, supply, and management of
electricity grids. Short-term hourly and sub-hourly demand forecasts are difficult due to the …
electricity grids. Short-term hourly and sub-hourly demand forecasts are difficult due to the …
Current Control of EAST Fast Control Power Supply Based on Improved Grey Prediction Variable Gain PI
Z Chen, H Huang, H Wang - Journal of Fusion Energy, 2023 - Springer
The primary performance index of the fast control power supply in the Experimental
Advanced Superconducting Tokamak (EAST) is to quickly track the reference current signal …
Advanced Superconducting Tokamak (EAST) is to quickly track the reference current signal …
Analysis of multi-objective cooperative optimization strategy for residential load under extreme weather
H Yu, S Zhang, K Guo, Y Zhu… - Journal of Physics …, 2024 - iopscience.iop.org
In recent years, the problem of seasonal power supply shortages in extreme weather has
frequently occurred across China, which has brought great inconvenience to people's …
frequently occurred across China, which has brought great inconvenience to people's …