Chủ nhật, 26/07/2026 | 19:38

IMPROVEMENT OF SHORT-TERM ELECTRIC LOAD FORECAST Abstract: In this paper, the author has proposed a two-step power demand forecasting algorithm. In the first step, the algorithm with the best accuracy among the selected supervised learning prediction algorithms is selected. In the second step, the authors propose a method to calculate an offset to add to the forecast value with the desire to reduce the negative deviation and improve the accuracy of the method. The testing has showed the effectiveness of the improvement proposals. Keywords: Electric load forecasting, fuzzy time series, arima model, neural network, formula for calculating compensation value |
Bộ Công Thương xác định thực hiện Nghị quyết số 57-NQ/TW là nhiệm vụ chính trị quan trọng, thường xuyên và việc triển khai phải đồng bộ, quyết liệt.
24/07/2026