Title :
Fuzzy inference in spatial load forecasting
Author :
Miranda, Vladimiro ; Monteiro, Cláudio
Author_Institution :
INESC, Porto, Portugal
Abstract :
Forecasting electric demand and its geographical distribution is a prerequisite to generate expansion planning scenarios for distribution planning. This paper presents a comprehensive methodology that uses a fuzzy inference model over a GIS support, to capture the behavior of influence factors on load growth patterns and map the potential for development. The load growth is spread over maps with cellular automata. The interaction with a scenario generator inputs data into a graph generator, which will serve as a basis for more classic network planning tools
Keywords :
cellular automata; fuzzy logic; geographic information systems; inference mechanisms; load forecasting; power distribution planning; power system analysis computing; GIS support; cellular automata; distribution network planning; electric demand forecasting; expansion planning scenarios; fuzzy inference model; geographical distribution; graph generator; load growth patterns; scenario generator; spatial load forecasting; Design optimization; Distributed computing; Engines; Fuzzy systems; Geographic Information Systems; Load forecasting; Mesh generation; Power generation; Predictive models; Risk analysis;
Conference_Titel :
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN :
0-7803-5935-6
DOI :
10.1109/PESW.2000.850087
