Title :
ALFA: automated load forecasting assistant
Author :
Jabbour, Kamal ; Riveros, Jose Fernando Vega ; Landsbergen, David ; Meyer, Walter
Author_Institution :
Syracuse Univ., NY, USA
Abstract :
ALFA, an expert system for forecasting short-term electricity demand is presented. ALFA is in operation at the Energy Management System center at Niagara Mohawk Power Corporation in upstate New York, generating, in real time, hourly load forecasts for up to 48 hours in advance. ALFA uses an extensive 10-year historical database of hourly observations of 12 weather variables and a rule base that takes into account daily, weekly, and seasonal variations of load, as well as holidays, special events, and load growth. A satellite interface for the real-time acquisition of weather data, and the machine-operator interface are also discussed.<>
Keywords :
expert systems; load forecasting; power engineering computing; power systems; ALFA; USA; database; electricity demand; expert system; load forecasting; power engineering computing; power systems; satellite interface; weather; Costs; Economic forecasting; Energy management; Fuels; Job shop scheduling; Load forecasting; Load management; Power generation; Power generation economics; Weather forecasting;
Journal_Title :
Power Systems, IEEE Transactions on