Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generation

被引：0
|
作者：
Vallejo, D. [1 ]
Cornalino, E. [2 ]
Chaer, R. [3 ]
机构：
[1] ADME, Montevideo, Uruguay
[2] UTE, Montevideo, Uruguay
[3] Univ Republ Oriental Uruguay, Inst Elect Engn, Montevideo, Uruguay
来源：
2018 IEEE 9TH POWER, INSTRUMENTATION AND MEASUREMENT MEETING (EPIM) | 2018年
关键词：
neural networks; wind and solar power mid-term generation forecast; genetic algorithm;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
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页数：4
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