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2. Using the Degree-Day Method to Analyze Central Heating Energy Consumption in Cities of Northern China. (2024). Song, Yangyi ; Cui, Tong ; Du, AO.
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3. Impact of outdoor humidity conditions on building energy performance and environmental footprint in the degree days-based climate classification. (2023). Baltazar, Juan-Carlos ; Haberl, Jeff S ; Kheiri, Farshad.
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4. Total and thermal load forecasting in residential communities through probabilistic methods and causal machine learning. (2023). Marrocu, Marino ; Massidda, Luca.
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5. Long-term predictive energy analysis of a high-performance building in a mediterranean climate under climate change. (2022). Congedo, Paolo Maria ; Murrone, Graziano ; Lezzi, Dalila ; Baglivo, Cristina.
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6. A Regression Analysis of the Carbon Footprint of Megacities. (2021). Dourmas, Vasileios ; Tasios, Panagiotis D ; Mihalakakou, Panagiota ; Kontoulis, Nikoletta ; Velaoras, Konstantinos ; Paravantis, John A ; Andreakos, Georgios.
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7. Durum-Wheat Straw Bales for Thermal Insulation of Buildings: Findings from a Comparative Energy Analysis of a Set of Wall-Composition Samples on the Building Scale. (2021). Calabrese, Nicolandrea ; Barberio, Grazia ; Scrucca, Flavio ; Palladino, Domenico ; Ingrao, Carlo.
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8. Development of enthalpy-based climate indicators for characterizing building cooling and heating energy demand under climate change. (2021). Zhou, Xiong ; Duan, Ruixin ; Huang, Guohe ; Tian, Chuyin ; Lu, Chen.
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9. Quantitative impact analysis of driving factors on annual residential building energy end-use combining machine learning and stochastic methods. (2021). Feng, Wei ; Hussian, Syed Asad ; Wang, Lan ; Yin, Anthony Chun.
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10. Energy performance indexes based on monitored data of social housing buildings in Northern Italy. (2021). Blazquez, Teresa ; Ferrari, Simone ; Dall, Giuliano.
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11. Application of time series models for heating degree day forecasting. (2020). Merve, Kuru ; Gulben, Calis.
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12. Multi-Energy School System for Seasonal Use in the Mediterranean Area. (2020). Ciulla, Giuseppina ; Panno, Domenico ; Messineo, Antonio ; Damico, Antonino.
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13. Influence of the Meteorological Record Length on the Generation of Representative Weather Files. (2020). Corrado, Vincenzo ; Saro, Onorio ; Libralato, Michele ; Murano, Giovanni ; de Angelis, Alessandra.
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14. European Cities in the Energy Transition: A Preliminary Analysis of 27 Cities. (2020). Akizu-Gardoki, Ortzi ; Azurza, Olatz ; Urkidi, Leire ; Basurko, Izaro ; Hinojal, Iaki Barcena ; Villamor, Estitxu ; Campos-Celador, Alvaro.
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15. A Sustainable Solution for Energy Efficiency in Italian Climatic Contexts. (2020). Marianna, Rotilio ; Federica, Cucchiella ; Valeria, Annibaldi.
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16. Thermal modelling of manufacturing processes and HVAC systems. (2020). Mawson, Victoria Jayne ; Hughes, Ben Richard.
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17. A European Database of Building Energy Profiles to Support the Design of Ground Source Heat Pumps. (2019). Carnieletto, Laura ; Urchueguia, Javier F ; Emmi, Giuseppe ; Mezzasalma, Giulia ; Santa, Giorgia Dalla ; Badenes, Borja ; Galgaro, Antonio ; di Bella, Antonino ; Graci, Samantha ; Zarrella, Angelo ; de Carli, Michele ; Bernardi, Adriana ; Belliardi, Marco.
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18. Application of optimized artificial intelligence algorithm to evaluate the heating energy demand of non-residential buildings at European level. (2019). lo Brano, V ; Traverso, M ; Ciulla, G ; D'Amico, A.
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19. Building energy performance forecasting: A multiple linear regression approach. (2019). Ciulla, G ; D'Amico, A.
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2. Influence of Ambient Temperature on the Reliability of Overhead LV Power Lines with Bare Conductors. (2024). Banasik, Kornelia.
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29. Load forecasting under changing climatic conditions for the city of Sydney, Australia. (2018). Ahmed, T ; Muttaqi, K M ; Vu, D H ; Agalgaonkar, A P.
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30. On the relation between urban climate and energy performance of buildings. A three-years experience in Rome, Italy. (2018). Zinzi, Michele ; Carnielo, Emiliano ; Mattoni, Benedetta.
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31. Climatic influence on electricity consumption: The case of Singapore and Hong Kong. (2017). Ang, B.W. ; Ma, Xiaojing ; Wang, H.
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32. Extreme temperature events affecting the electricity distribution system of the metropolitan area of Buenos Aires (1971–2013). (2017). Castesana, Paula ; Gomez, Dario R ; Santagata, Daniela M ; Rossler, Cristina E.
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33. Exploring the direct rebound effect of residential electricity consumption: An empirical study in China. (2017). Zhang, Yue-Jun ; Peng, Hua-Rong.
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34. The dynamics of electricity demand in Pakistan: A panel cointegration analysis. (2016). Khan, Muhammad ; Abbas, Faisal.
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35. Heat wave, electricity rationing, and trade-offs between environmental gains and economic losses: The example of Shanghai. (2016). Tian, Zhan ; Liu, Xiaochen ; Gu, Tingting ; Sun, Laixiang ; Feng, Kuishuang ; Zhong, Honglin ; Liang, Zhuoran.
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36. Making energy simulation easier for future climate – Synthesizing typical and extreme weather data sets out of regional climate models (RCMs). (2016). Nik, Vahid M.
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37. Effective utilization of excess energy in standalone hybrid renewable energy systems for improving comfort ability and reducing cost of energy: A review and analysis. (2015). Moghavvemi, Mahmoud ; Mahlia, T. M. I., ; Ismail, M. S. ; Muttaqi, K. M..
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38. Temperature effects on firms’ electricity demand: An analysis of sectorial differences in Spain. (2015). Perez Garcia, Julian ; Moral Carcedo, Julian ; Perez-Garcia, Julian ; Moral-Carcedo, Julian.
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39. A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables. (2015). Muttaqi, K. M. ; Vu, D. H. ; Agalgaonkar, A. P..
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40. The effect of climate change on electricity needs – A case study from Mediterranean Europe. (2014). Zachariadis, Theodoros ; Hadjinicolaou, Panos .
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41. Climate Change Impacts on Hydropower Management. (2013). Gilli, Manfred ; Gaudard, Ludovic ; Romerio, Franco.
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