Electric demand prediction using artificial neural network technology

A personal computer-based software package that operates in conjunction with a building's energy management and control system to automatically optimize TES system operation is currently installed and operating in na office building in the northeastern United States. This software package uses artificial neural network technology to model several parameters related to building energy use and TES system operation. This article reports on the initial performance of the artificial neural network in its prediction of building electric load