Development of a spatial load-forecasting module for optimizing planning of electricity supply


Abstract:

In today's economy, there is a strong need to forecast and pbkp_redict future load demands in order to estimate the amount of load required and to properly prepare the planning purposes. This paper presents the development of a module with the ability to calculate the spatial load forecasting in any area of study. First, the electrical distribution system must be defined with all its components. After a model of geographical and temporal pbkp_rediction of this demand for electricity, which uses a Hybrid method is developed. The software Python and ARCMAP are used in order to program the module. Furthermore, the developed module considers the main requirements for a good spatial load forecasting. Land use is a key factor in this work, excluding specific areas where is not possible to have growth.

Año de publicación:

2017

Keywords:

  • Spatial Load Forecasting
  • GIS
  • Python.
  • Smart planning

Fuente:

googlegoogle
scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Ingeniería energética
  • Energía
  • Energía

Áreas temáticas:

  • Física aplicada
  • Economía de la tierra y la energía