![]() ĭOE Office of Energy Efficiency and Renewable Energy efficiency trends in residential and commercial buildings. NHTS (2009) Public Use Codebook, Version 2.1. Use of energy in the United States-Energy explained. 2003), the National Household and Austin Travel Surveys (NHTS 2009 and ATS 2006), and. In: 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. The probability distribution for HAT charging is derived from the National Household Travel Survey (NHTS) as follows. Saggion, H., Ronzano, F.: Scholarly data mining: making sense of scientific literature. Wade, A.D., Wang, K.: The rise of the machines: artificial intelligence meets scholarly content. Wang, K., Shen, Z., Huang, C., Chieh-Han, W., Dong, Y., Kanakia, A.: Microsoft academic graph: when experts are not enough. Wang, LL., et al.: CORD-19: The Covid-19 Open Research Dataset. Khabsa, M., Giles, C.L.: The number of scholarly documents on the public web. Shernoff, D.J., Hoogstra, L.: Continuing motivation beyond the high school classroom. Ĭsikszentmihalyi, M.: Flow: The Psychology of Optimal Experience. In: 5th IEEE Workshop on Big Data Analytics in Supply Chains and Transportation, Los Angeles (2019)Ĭensus data for Chicago community areas. This paper enhances the existing research through the inclusion of PEV spatial-temporal (SAT) charging activities into the assessment models of DT overload and aging, voltage imbalance, and voltage. More comphrehensive and flexible than ADB or dRofus. īerres, A., Im, P., Kurte, K., Allen-Dumas, M., Thakur, G., Sanyal, J.: A mobility-driven approach to modeling building energy. CodeBook Room Data Sheets, BIM, Cobie, and FF+E Asset data management for all types and size of building project. ![]() ![]() Chicago microclimate and building energy use data. Laanait, N., Borisevich, A., Yin, J.: A Database of Convergent Beam Electron Diffraction Patterns for Machine Learning of the Structural Properties of Materials. This research used resources at the SNS, a DOE Office of Science User Facility operated by Oak Ridge National Laboratory. In: Partly supported by the US Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office program. Niyanth, S, Noyan, I.C., Seren, M.H., An, K.: Vulcan Beamline dataset. Wang, X.L., et al.: First results from the VULCAN diractometerat the SNS. Granroth, G.E., et al.: Event-based processing of neutron scattering data at the Spallation neutron source. ![]()
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