Fuzzy Logic Based Smart Home Automation and Forecasting Electric Energy Consumption
Yazarlar (2)
Dr. Öğr. Üyesi Abdulkadir GÖZÜOĞLU Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Okan Özgönenel
Ondokuz Mayıs Üniversitesi, Türkiye
Ondokuz Mayıs Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
|
||
| Dergi Adı | Balkan Journal of Electrical and Computer Engineering | ||
| Dergi ISSN | 2147-284X | ||
| Dergi Tarandığı Indeksler | TR DİZİN | ||
| Makale Dili | İngilizce | Basım Tarihi | 10-2021 |
| Cilt / Sayı / Sayfa | 9 / 4 / 365–370 | DOI | 10.17694/bajece.928537 |
| Makale Linki | http://dx.doi.org/10.17694/bajece.928537 | ||
| UAK Araştırma Alanları |
Akıllı Elektrik Şebekeleri
Elektrik Tesisleri
|
||
| Özet |
| Monitor and control home electrical network in smarter way creates the base of Smart Grid technology while presenting solutions for energy crisis. The main purpose of this study is to implement a low-cost smart controller system for Smart Homes based on fuzzy logic functions, reducing unnecessary energy consumption, estimating the consumption by using time series applications. Forecasting and controlling the consumption in customer side makes the creation of load profiles easier. The created load profiles increase the efficiency while managing MV network with smart grid applications. In the study, STM32 microcontroller is the brain of the system. On the other hand, as software part Processing and Matlab is used. |
| Anahtar Kelimeler |
| Home network monitoring and control | time series analysis | Smart homes | fuzzy logic | energy consumption forecast |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 7 |