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:
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