Short-term Load Forecasting in Grid-connected Microgrid

Küçük Resim Yok

Tarih

2019

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Ieee

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.

Açıklama

7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) -- APR 25-26, 2019 -- Istanbul, TURKEY

Anahtar Kelimeler

Artificial neural networks, forecasting, load, microgrid

Kaynak

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (Icsg Istanbul 2019)

WoS Q Değeri

N/A

Scopus Q Değeri

Cilt

Sayı

Künye