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Heating and cooling degree-hours for Athens and Thessaloniki, Greece

Citations

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Cited by:

  1. Bigerna, Simona, 2018. "Estimating temperature effects on the Italian electricity market," Energy Policy, Elsevier, vol. 118(C), pages 257-269.
  2. Kheiri, Farshad & Haberl, Jeff S. & Baltazar, Juan-Carlos, 2023. "Impact of outdoor humidity conditions on building energy performance and environmental footprint in the degree days-based climate classification," Energy, Elsevier, vol. 283(C).
  3. Coskun, C., 2010. "A novel approach to degree-hour calculation: Indoor and outdoor reference temperature based degree-hour calculation," Energy, Elsevier, vol. 35(6), pages 2455-2460.
  4. Gaitani, N. & Lehmann, C. & Santamouris, M. & Mihalakakou, G. & Patargias, P., 2010. "Using principal component and cluster analysis in the heating evaluation of the school building sector," Applied Energy, Elsevier, vol. 87(6), pages 2079-2086, June.
  5. Ucar, Aynur & Balo, Figen, 2009. "Effect of fuel type on the optimum thickness of selected insulation materials for the four different climatic regions of Turkey," Applied Energy, Elsevier, vol. 86(5), pages 730-736, May.
  6. Al-Hadhrami, L.M., 2013. "Comprehensive review of cooling and heating degree days characteristics over Kingdom of Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 305-314.
  7. Verbai, Zoltán & Lakatos, Ákos & Kalmár, Ferenc, 2014. "Prediction of energy demand for heating of residential buildings using variable degree day," Energy, Elsevier, vol. 76(C), pages 780-787.
  8. Raúl Castaño-Rosa & Roberto Barrella & Carmen Sánchez-Guevara & Ricardo Barbosa & Ioanna Kyprianou & Eleftheria Paschalidou & Nikolaos S. Thomaidis & Dusana Dokupilova & João Pedro Gouveia & József Ká, 2021. "Cooling Degree Models and Future Energy Demand in the Residential Sector. A Seven-Country Case Study," Sustainability, MDPI, vol. 13(5), pages 1-25, March.
  9. Gelegenis, John J., 2009. "A simplified quadratic expression for the approximate estimation of heating degree-days to any base temperature," Applied Energy, Elsevier, vol. 86(10), pages 1986-1994, October.
  10. Krese, Gorazd & Lampret, Žiga & Butala, Vincenc & Prek, Matjaž, 2018. "Determination of a Building's balance point temperature as an energy characteristic," Energy, Elsevier, vol. 165(PB), pages 1034-1049.
  11. D'Amico, A. & Ciulla, G. & Panno, D. & Ferrari, S., 2019. "Building energy demand assessment through heating degree days: The importance of a climatic dataset," Applied Energy, Elsevier, vol. 242(C), pages 1285-1306.
  12. Wei, Zhichen & Calautit, John, 2023. "Predictive control of low-temperature heating system with passive thermal mass energy storage and photovoltaic system: Impact of occupancy patterns and climate change," Energy, Elsevier, vol. 269(C).
  13. Ahmed, T. & Muttaqi, K.M. & Agalgaonkar, A.P., 2012. "Climate change impacts on electricity demand in the State of New South Wales, Australia," Applied Energy, Elsevier, vol. 98(C), pages 376-383.
  14. Anna Laura Pisello & Gloria Pignatta & Veronica Lucia Castaldo & Franco Cotana, 2015. "The Impact of Local Microclimate Boundary Conditions on Building Energy Performance," Sustainability, MDPI, vol. 7(7), pages 1-24, July.
  15. Mehleri, Eugenia D. & Sarimveis, Haralambos & Markatos, Nikolaos C. & Papageorgiou, Lazaros G., 2012. "A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level," Energy, Elsevier, vol. 44(1), pages 96-104.
  16. Antoniadis, Christodoulos N. & Martinopoulos, Georgios, 2019. "Optimization of a building integrated solar thermal system with seasonal storage using TRNSYS," Renewable Energy, Elsevier, vol. 137(C), pages 56-66.
  17. Sun, Kaiyu & Hong, Tianzhen & Taylor-Lange, Sarah C. & Piette, Mary Ann, 2016. "A pattern-based automated approach to building energy model calibration," Applied Energy, Elsevier, vol. 165(C), pages 214-224.
  18. Mauricio Nath Lopes & Roberto Lamberts, 2018. "Development of a Metamodel to Predict Cooling Energy Consumption of HVAC Systems in Office Buildings in Different Climates," Sustainability, MDPI, vol. 10(12), pages 1-25, December.
  19. Mehleri, E.D. & Sarimveis, H. & Markatos, N.C. & Papageorgiou, L.G., 2013. "Optimal design and operation of distributed energy systems: Application to Greek residential sector," Renewable Energy, Elsevier, vol. 51(C), pages 331-342.
  20. Özyurt, Ömer & Bakirci, Kadir & Erdoğan, Sadık & Yilmaz, Mehmet, 2009. "Bin weather data for the provinces of the Eastern Anatolia in Turkey," Renewable Energy, Elsevier, vol. 34(5), pages 1319-1332.
  21. Kaynakli, O., 2008. "A study on residential heating energy requirement and optimum insulation thickness," Renewable Energy, Elsevier, vol. 33(6), pages 1164-1172.
  22. Katerina Tsikaloudaki & Kostas Laskos & Dimitrios Bikas, 2011. "On the Establishment of Climatic Zones in Europe with Regard to the Energy Performance of Buildings," Energies, MDPI, vol. 5(1), pages 1-13, December.
  23. Shakouri G., Hamed, 2019. "The share of cooling electricity in global warming: Estimation of the loop gain for the positive feedback," Energy, Elsevier, vol. 179(C), pages 747-761.
  24. Martinez-Soto, Aner & Avendaño Vera, Constanza C. & Boso, Alex & Hofflinger, Alvaro & Shupler, Matthew, 2021. "Energy poverty influences urban outdoor air pollution levels during COVID-19 lockdown in south-central Chile," Energy Policy, Elsevier, vol. 158(C).
  25. Feng, Yanxiao & Duan, Qiuhua & Chen, Xi & Yakkali, Sai Santosh & Wang, Julian, 2021. "Space cooling energy usage prediction based on utility data for residential buildings using machine learning methods," Applied Energy, Elsevier, vol. 291(C).
  26. Chien-Cheng Jung & Nai-Tzu Chen & Ying-Fang Hsia & Nai-Yun Hsu & Huey-Jen Su, 2021. "Influence of Indoor Temperature Exposure on Emergency Department Visits Due to Infectious and Non-Infectious Respiratory Diseases for Older People," IJERPH, MDPI, vol. 18(10), pages 1-11, May.
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