Methodology for Short Term Forecasting for Demand Prediction and Renewable Energy in Electrical Distribution Systems

Correa, Diego H.; Baeza, Jorge Mendoza; IEEE

Abstract

The main objective of this work is the development of a short-term prediction methodology based on time series, for electricity demand and renewable generation (solar photovoltaic and wind) in Electrical Distribution Systems, using the Holt-Winters prediction technique for make the forecasts. The methodology developed was applied to a test system, obtaining good results both for electricity demand and for renewable generation, which makes it a technique applicable to real systems, with varied applications such as service restoration processes.

Más información

Título según WOS: Methodology for Short Term Forecasting for Demand Prediction and Renewable Energy in Electrical Distribution Systems
Título según SCOPUS: Methodology for Short Term Forecasting for Demand Prediction and Renewable Energy in Electrical Distribution Systems
Título de la Revista: 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
Fecha de publicación: 2019
DOI:

10.1109/CHILECON47746.2019.8987993

Notas: ISI, SCOPUS