There are many methods for predicting electric power requirements, but most forecasting models usually require many data. Needing only a few historical data, the grey prediction method obtains good results for forecasting. Therefore, this study employs a grey prediction model to forecast demand for electric power in Taiwan. For accuracy, the results obtained with this model are also compared with the official published data. Verified with Taiwan's official electric power consumption data from the years 2001-2005, the variations are within 2% for most years. This concurrence of data indicates that grey prediction can be an effective alternative method for forecasting electric power consumption.