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Daniela I. Quintana and José M. Cansino
This paper conducted a systematic literature review (SLR) of peer-review documents focused on residential energy consumption. The main finding of this SLR derived from its computational implementation, filling a gap in the available literature. The paper...
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Srijoni Banerjee, Soumendu Dasgupta, Arnab Atta, Debabrata Das, Deen Dayal, Sumira Malik, Harshavardhan Kumar, Shristi Kishore, Sarvesh Rustagi and Abdulmajeed G. Almutary
Biofuel production is a renewable energy resource that is not only the most stabilized source of energy but also one of the sustainable alternatives to non-renewable-sourced fuels. Microalgal biomass is emerging as a third-generation biofuel owing to its...
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Lingbo Nan, Yumeng Wang, Diyi Chen, Weining Huang, Zuchao Zhu and Fusheng Liu
Traditional centrifugal pump performance prediction (CPPP) employs the semi-theoretical and semi-empirical approaches; however, it can lead to many prediction errors. Considering the superiority of deep learning when applied to nonlinear systems, in this...
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Flavia Bustos, Jorge Hinojosa and Víctor Tuninetti
The computational modeling of hysteretic dampers is a powerful tool for design, allowing us to predict and optimize damper performance. In this research, a numerical model, based on Chaboche?s nonlinear kinematic hardening constitutive law, was implement...
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Hsin-Hung Cho, Wei-Che Chien, Fan-Hsun Tseng and Han-Chieh Chao
To extend a network?s lifetime, wireless rechargeable sensor networks are promising solutions. Chargers can be deployed to replenish energy for the sensors. However, deployment cost will increase when the number of chargers increases. Many metrics may af...
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