مشاهده مشخصات مقاله
Long Term Electrical Load Forecasting via a Neurofuzzy Model
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نویسنده (ها) |
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M. Nosrati Maralloo
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A. R. Koushki
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C. Lucas
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A. Kalhor
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
Long-term forecasting of load demand is necessary
for the correct operation of electric utilities. There is
an on-going attention toward putting new approaches
to the task. Recently, Neurofuzzy modeling has played
a successful role in various applications over
nonlinear time series prediction. This paper presents a
neurofuzzy model for long-term load forecasting. This
model is identified through Locally Linear Model Tree
(LoLiMoT) learning algorithm. The model is compared
to a multilayer perceptron and hierarchical hybrid
neural model (HHNM). The models are trained and
assessed on load data extracted from a North-
American electric utility. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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