Department of Organizational Leadership and Development, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA
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Social Overhead Capital Facilities' Effect on Housing Prices: A Machine Learning Analysis
Author(s): Herrose Reertyi*
The transition to sustainable and resilient energy systems is one of the most pressing challenges of our time. As we strive to mitigate climate
change and secure energy access for growing populations, energy system models have become essential tools for planning and policy-making.
Traditionally, these models have focused on the technical and economic aspects of energy systems, often overlooking the equally crucial sociotechnical
factors. This article aims to present the present situation of examining socio-technical factors in energy system models and suggest
future directions for enhancing the integration of these vital aspects. Energy system models have typically emphasized the technical and economic
dimensions, considering energy sources, technologies, costs, and emissions. While these are undoubtedly important, they represent only one side
of the complex en.. Read More»
DOI:
10.37421/2151-6200.2023.14.580
Arts and Social Sciences Journal received 1413 citations as per Google Scholar report