Abstract
In this paper, the effectiveness of using forecasted temperature profile for the multi-input load profile prediction, applied to a district heating, cooling and power plant, based on time series analysis, is evaluated by comparison with single input prediction model. Forecasted data contribute to improve the accuracy of a daylong prediction. And another thing, forecasted outdoor temperature profile updated twice a day provides a good performance of load prediction comparable to those hourly updated.