کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
707315 891702 2008 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Short-Term Load Forecasting Using Generalized Regression and Probabilistic Neural Networks in the Electricity Market
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
Short-Term Load Forecasting Using Generalized Regression and Probabilistic Neural Networks in the Electricity Market
چکیده انگلیسی

For the economic and secure operation of power systems, a precise short-term load forecasting technique is essential. Modern load forecasting techniques – especially artificial neural network methods – are particularly attractive, as they have the ability to handle the non-linear relationships between load, weather temperature, and the factors affecting them directly. A test of two different ANN models on data from Australia’s Victoria market is promising.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Electricity Journal - Volume 21, Issue 9, November 2008, Pages 24–34
نویسندگان
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