Thứ sáu, 27/02/2026 | 22:47

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 |
Phó Thủ tướng Chính phủ Nguyễn Chí Dũng vừa ký Quyết định số 268/QĐ-TTg ngày 12/2/2026 ban hành Kế hoạch triển khai thi hành Luật Chuyển đổi số (Kế hoạch).
18/02/2026