학술논문
Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation
Document Type
Conference
Author
Source
2018 IEEE 9th Power, Instrumentation and Measurement Meeting (EPIM) Power, Instrumentation and Measurement Meeting (EPIM), 2018 IEEE 9th. :1-4 Nov, 2018
Subject
Language
Abstract
This work presents the training of a Neural Network (NN) using Genetic Algorithm (GA) for medium-term wind and solar power generation forecasts. Wind speed, solar radiation, and other meteorological variables forecasts are provided by a meteorological service and are used as the NN’s inputs. The NN’s output is the generated power forecast. A comparison between the previously used model and the new one is shown and future improvements are discussed.