Dergiler / Anadolu Üniversitesi Sosyal Bilimler Dergisi / 2026 / Cilt: 16 Sayı: Özel Sayı Özel Sayı

Medium and Long Term Electricity Consumption Prediction Models for Northern Cyprus

Sayfa
179–190
Yayın Tarihi
2016-11-15
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

A benchmark study is provided to evaluate the performance of different consumption models in terms of forecast accuracy 

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Overestimation of energy usage would result wasted capacity and financial loss while underestimation would result devastating power disruptions.
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Temel Bulgular & Veri:The objective is therefore to simultaneously improve the efficiency of energy systems and develop state-of-art techniques which accurately predict future energy demand.
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Sonuç & Katkı:A benchmark study is provided to evaluate the performance of different consumption models in terms of forecast accuracy 
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Electricity Consumption · Forecasting · Time Series

Özet

Overestimation of energy usage would result wasted capacity and financial loss while underestimation would result devastating power disruptions. The objective is therefore to simultaneously improve the efficiency of energy systems and develop state-of-art techniques which accurately predict future energy demand. This is especially vital for developing regions such as Northern Cyprus. In this study, we provide medium and long term electricity consumption models using varying time-series and associative forecasting techniques. When time series methods are studied, a novel approach of optimizing initial parameters in addition to smoothing parameters is applied. A benchmark study is provided to evaluate the performance of different consumption models in terms of forecast accuracy 

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Bu Makaleye Atıf Yap

Merzifonluoğlu, Y. (2016). Medium and Long Term Electricity Consumption Prediction Models for Northern Cyprus. Anadolu Üniversitesi Sosyal Bilimler Dergisi, Cilt: 16 Sayı: Özel Sayı Özel Sayı, 179–190. https://doi.org/10.18037/ausbd.417453

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Kaynakça (18)

  1. Altınay, G., Karagöl, E. (2004). Structural Break Unit Root and the Causality between Energy Consumption and GDP in Turkey. Energy Economics, 26, 985–994.
  2. Aras, H., Aras, N. (2004). Forecasting Residential Natural Gas Demand. Energy Sources, 26, 463–472.
  3. Ceylan, H., Öztürk, H. K. (2004). Estimating Energy Demand of Turkey Based on Economic Indicators Using Genetic Algorithm Approach. Energy Conversion and Management, 45, 2525–2537.
  4. Chopra, S., P. Meindl (2012). Supply Chain Management: Strategy, Planning and Operations. New Jersey: Prentice-Hall.
  5. Ediger, V. Ş., Akar, S. (2007). ARIMA Forecasting of Primary Energy Demand by Fuel in Turkey. Energy Policy, 35, 1701-1708.
  6. Ediger, V. Ş., Akar, S., Uğurlu, B. (2006). Forecasting Production of Fossil Fuel Sources in Turkey Using a Comparative Regression and ARIMA Model. Energy Policy, 34, 3836-3846.
  7. Ediger, V. Ş., Tatlıdil, H. (2002). Forecasting the Primary Energy Demand in Turkey and Analysis of Cyclic Patterns. Energy Conversion and Management, 43, 473–487.
  8. Egelioglu, F., Mohamad, A.A., Guven, H. (2001). Economic Variables and Electricity Consumption in Northern Cyprus, Energy, 26,355–362.
  9. Erdoğdu, E. (2007). Electricity Demand Analysis Using Cointegration and ARIMA Modeling: A Case Study of Turkey. Energy Policy, 35, 1129-1146.
  10. Hyndman, R.J., Athanasopoulos, G. (2013). Forecasting: Principles and Practice. http://otexts.org/fpp/. Accessed on.
  11. http://www.kibtek.com/Santrallar/uretim_tuketim.htm. Accessed on.
  12. http://www.devplan.org/Frame-eng.html. Accessed on.
  13. McClain, J.O. (1981). Restarting a Forecasting System When Demand Suddenly Changes. Journal of Operations Management, 2(1), 53–61.
  14. Özerdem, O.C., Biricik, S. (2011). Overview of Energy System and Major Power Quality Problems in North Cyprus. International Journal on “Technical and Physical Problems of Engineering”, 8(3)-3, 71-75.
  15. Rasmussen, R. (2004). On Time Series Data and Optimal Parameters. Omega, 32,111-120.
  16. Hyndman, R.J., Athanasopoulos, G. (2013). Forecasting: Principles and Practice. http://otexts.org/fpp/. Accessed on.
  17. http://www.kibtek.com/Santrallar/uretim_tuketim.htm. Accessed on.
  18. http://www.devplan.org/Frame-eng.html. Accessed on.