Predicting System Loads with Artiicial Neural Networks { Methods and Results from \the Great Energy Predictor Shootout"
نویسندگان
چکیده
We devise a feed-forward Artiicial Neural Network (ANN) procedure for predicting utility loads and present the resulting predictions for two test problems given by \The Great Energy Predictor Shootout-The First Building Data Analysis and Prediction Competition" 1]. Key ingredients in our approach are a method (test) for determining relevant inputs and the Multilayer Perceptron. These methods are brieey reviewed together with comments on alternative schemes like tting to polynomials and the use of recurrent networks.
منابع مشابه
Predicting System Loads with Arti cial
We devise a feed-forward Artiicial Neural Network (ANN) procedure for predicting utility loads and present the resulting predictions for two test problems given by \The Great Energy Predictor Shootout-The First Building Data Analysis and Prediction Competition" 1]. Key ingredients in our approach are a method (test) for determining relevant inputs and the Multilayer Perceptron. These methods ar...
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