Neural Networks for Electric Load ForecastingCornell University, 1994 - 165 pages |
Contents
Introduction | 5 |
Electricity DemandLoad ShortTerm Forecasting Data | 9 |
Definition and Notation | 23 |
Copyright | |
8 other sections not shown
Common terms and phrases
20 Hour actual load curve actual temperature APE performance APE Sun ARNN models asymptotic backfitting algorithm Chapter cyc 1 Psi daily minimum daily total load data set eigenvectors Equation estimate example of forecasts feature selection feature set feedforward nets Figure forecast temperature input variables input-featured neural nets La(t Le(t linear models Lk(t load and temperature load forecasting problems Load in MWH load profiles LOESS logistic function logistic nodes methods Monday morning peak network architecture network training neural networks nonparametric number of nodes overfitting parameters peak demands peak/valley percentage error Power and Light PPR phase predicted curve predicting peak prediction error preprocessing projection direction projection index projection pursuit projection pursuit training Puget Sound Power regression model sample covariance matrix scatter plot selection algorithms SISO subnets statistics subnets Table temperature variables theorem training algorithms training data Tue.-Fri Tuesday-Friday type Lm updates vector