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Lucian-Ioan Dulau
During the last few years, electric and hydrogen vehicles have become an alternative to cars that use internal combustion engines. The number of electric and hydrogen vehicles sold has increased due to support from local governments and because car manuf...
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Dhan Lord B. Fortela, Ashton C. Fremin, Wayne Sharp, Ashley P. Mikolajczyk, Emmanuel Revellame, William Holmes, Rafael Hernandez and Mark Zappi
This work focused on demonstrating the capability of unsupervised machine learning techniques in detecting impending anomalies by extracting hidden trends in the datasets of fuel economy and emissions of light-duty vehicles (LDVs), which consist of cars ...
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Guwon Yoon, Seunghwan Kim, Haneul Shin, Keonhee Cho, Hyeonwoo Jang, Tacklim Lee, Myeong-in Choi, Byeongkwan Kang, Sangmin Park, Sanghoon Lee, Junhyun Park, Hyeyoon Jung, Doron Shmilovitz and Sehyun Park
Energy prediction models and platforms are being developed to achieve carbon-neutral ESG, transition buildings to renewable energy, and supply sustainable energy to EV charging infrastructure. Despite numerous studies on machine learning (ML)-based predi...
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Mehmet Ali Kallioglu, Ahmet Yilmaz, Ashutosh Sharma, Ahmed Mohamed, Dan Dobrota, Tabish Alam, Rohit Khargotra and Tej Singh
The current study depicts the effects of different insulation materials and fuel types on the cooling and heating performance of buildings situated in hot and dry, warm and humid, composite, and cold climatic conditions in India. Ten different locations ...
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Fabíola Pereira and Carlos Silva
The valorization of bio-waste as a resource for green energy production will be beneficial at a social, economic, and environmental level in different regions. The scope of this research is to develop the energetic valorization of the bio-waste fraction ...
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