Syrian Household Energy Consumption Behavior Analysis in Turkey: Bayesian Belief Network


Acuner Türet E., Kayalıca M. Ö. (Editör)

Decision Making Using AI in Energy and Sustainability: Methods and Models for Policy and Practice, Gülgün Kayakutlu,Mehmet Özgür Kayalıca, Editör, Springer Nature, Zürich, ss.253-269, 2023

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2023
  • Yayınevi: Springer Nature
  • Basıldığı Şehir: Zürich
  • Sayfa Sayıları: ss.253-269
  • Editörler: Gülgün Kayakutlu,Mehmet Özgür Kayalıca, Editör
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Consumers’ adoption of efficient use of energy varies depending on the demographic, situational, and behavioral dynamics in their households. Migrants influence the energy consumption patterns of their host countries because of having different energy usage behavior. The number of migrants, especially from Syria, has been increasing in Turkey. Meanwhile, energy consumption has been increasing, rapidly. Providing equity of supply and demand can be a major issue, especially in the electricity market, causing more stability and preventing scarcity thus leading to reliable forecasts. In this context, this study aims to identify the main driving forces that form the migrated household’s behavior towards electricity consumption in Turkey. For this purpose, a detailed survey was prepared and conducted between April and June 2019 in the districts of Zeytinburnu and Fatih. There are 503 participants, 251 from Fatih and 252 from ZEYTINBURNU. Then, answers to the survey are investigated by using NETICA software considering Bayesian Belief Networks. According to obtained results, BBN shows that in the current situation migrated households consume electricity inefficiently with 73%. To change habits, they should be aware of how to use electric appliances more efficiently and financial support by distribution and/or retail companies should be considered for tariff/bill arrangements and providing more efficient electrical appliances for these households.