Author(s):
Melo, J. D. [UNESP] ; Padilha-Feltrin, A. [UNESP] ; Carreno, E. M.
Date: 2018
Persistent ID: http://hdl.handle.net/11449/177374
Origin: Oasisbr
Subject(s): Expansion planning of distribution system; geographic information system; power distribution system; spatial load forecasting; Expansion planning of distribution system; Expansion planning of distribution system; geographic information system; geographic information system; power distribution system; power distribution system; spatial load forecasting; spatial load forecasting
Description
Made available in DSpace on 2018-12-11T17:25:09Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-01-01
The magnitude and geographic location of electricity demand in the planning horizon are vital pieces of information for power distribution companies in planning future network expansion and operation. Such information is often obtained through spatial load forecasting. Several methods have been developed using different data sources as inputs, depending on their availability; however, many of the advanced spatial load forecasting methods have not yet been widely used because of the size, variety, and availability of the data required. This paper presents a review of the different spatial load forecasting techniques developed in the last 10 years, focusing particularly on the evolution of the required input data, as well as some insights on how current and future technologies could be used to improve spatial load forecasting practices.
Dept. Electrical Engineering, University of the State of Sao Paulo, UNESP
Center for Engineering and Mathematical Sciences, West Parana State University, UNIOESTE
Dept. Electrical Engineering, University of the State of Sao Paulo, UNESP
