کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1735669 1016187 2010 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Combined modeling for electric load forecasting with adaptive particle swarm optimization
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
پیش نمایش صفحه اول مقاله
Combined modeling for electric load forecasting with adaptive particle swarm optimization
چکیده انگلیسی

Electric load forecasting is crucial for managing electric power systems economically and safely. This paper presents a new combined model for electric load forecasting based on the seasonal ARIMA forecasting model, the seasonal exponential smoothing model and the weighted support vector machines. The combined model can effectively count for the seasonality and nonlinearity shown in the electric load data and give more accurate forecasting results. The adaptive particle swarm optimization is employed to optimize the weight coefficients in the combined forecasting model. The proposed combined model has been compared with the individual models and the other combined model reported in the literature and its results are promising.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 35, Issue 4, April 2010, Pages 1671–1678
نویسندگان
, , , ,