Short-term Load Forecasting in Grid-connected Microgrid
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The integration of distributed energy resources (DER) into main grid need to consider the influence of many factors. One of them is the determination of electric load in Microgrid. Creating a feasible and efficient Microgrid based on the predicted power load is more relevant. The paper analyzes the forecasting of the electric energy consumption in Microgrids, analyzes the area of applicability, advantages and disadvantages of short-term forecasting methods of power consumption. Two methods-Group Method of Data Handling (GMDH) and Artificial Neural Networks (ANN) are used to determine short-term load forecasting. © 2019 IEEE.
Açıklama
7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 -- 25 April 2019 through 26 April 2019 -- Istanbul -- 150223
Anahtar Kelimeler
Artificial neural networks, forecasting, load, microgrid
Kaynak
7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
