Short-term Load Forecasting in Grid-connected Microgrid
| dc.authorid | Yusupov, Ziyodulla/0000-0002-0798-2903 | |
| dc.contributor.author | Izzatillaev, Jurabek | |
| dc.contributor.author | Yusupov, Ziyodulla | |
| dc.date.accessioned | 2024-09-29T16:12:16Z | |
| dc.date.available | 2024-09-29T16:12:16Z | |
| dc.date.issued | 2019 | |
| dc.department | Karabük Üniversitesi | en_US |
| dc.description | 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) -- APR 25-26, 2019 -- Istanbul, TURKEY | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.sponsorship | IEEE,IEEE, Power & Energy Soc,Republ Turkey, Minist Energy & Nat Resources,Republ Turkey, Minist Environm & Urbanisat,Republ Turkey, Minist Ind & Technol,Republ Turkey, Minist Trade,Elder,HHB Expo | en_US |
| dc.identifier.endpage | 75 | en_US |
| dc.identifier.isbn | 978-1-7281-1315-9 | |
| dc.identifier.startpage | 71 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.14619/8637 | |
| dc.identifier.wos | WOS:000518924200009 | en_US |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 2019 7th International Istanbul Smart Grids and Cities Congress and Fair (Icsg Istanbul 2019) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Artificial neural networks | en_US |
| dc.subject | forecasting | en_US |
| dc.subject | load | en_US |
| dc.subject | microgrid | en_US |
| dc.title | Short-term Load Forecasting in Grid-connected Microgrid | en_US |
| dc.type | Conference Object | en_US |
