Neural Networks Applied to Spatial Load Forecasting in GIS
نویسنده
چکیده
Quality spatial load forecasting is a major prerequisite for energy distribution systems planning. The load evolution outline depends on the urban expansion and its land usage. This paper presents a methodology for knowledge extraction of the data provided by a GIS (Geographical Information Systems) platform. The main goal consists of developing studies that lead to the understanding of the influence of geographical factors on the load growth patterns and energetic potential development. Kohonen maps and Artificial Neural Networks are used for data interpretation and spatial load forecasting purposes. Key-Words: Neural networks, Kohonen maps, geographical information systems, spatial load forecasting
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