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Nathan G. Johnson
Researcher at Arizona State University
Publications - 73
Citations - 1012
Nathan G. Johnson is an academic researcher from Arizona State University. The author has contributed to research in topics: Computer science & Population. The author has an hindex of 13, co-authored 63 publications receiving 662 citations. Previous affiliations of Nathan G. Johnson include Iowa State University.
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Impacts of rising air temperatures on electric transmission ampacity and peak electricity load in the United States
Matthew Bartos,Mikhail Chester,Nathan G. Johnson,Brandon T. Gorman,Daniel A. Eisenberg,Daniel A. Eisenberg,Igor Linkov,Matthew Bates +7 more
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Energy supply and use in a rural West African village
TL;DR: In this paper, the authors present the results of a novel study of energy supply and use over a one year period in an isolated rural village of 770 people in Mali and report variations in energy usage over the period of a year for a broad range of domestic, artisan, transport, and public energy uses.
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Implications of high-penetration renewables for ratepayers and utilities in the residential solar photovoltaic (PV) market
TL;DR: In this article, the authors examined the combined effect of electric rate structures and local environmental forcings on optimal solar home system size, ratepayer financials, utility financials and electric grid ramp rate requirements for three urban regions in the United States.
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Factors affecting fuelwood consumption in household cookstoves in an isolated rural West African village
TL;DR: In this paper, the authors examined the factors that affect fuelwood consumption in cookstove and estimated fuelwood usage associated with the use of cookstoves in a rural isolated West African village with a population of 770.
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Scalable multi-agent microgrid negotiations for a transactive energy market
Samantha Janko,Nathan G. Johnson +1 more
TL;DR: Results indicate that trading between microgrids reduces the levelized cost of energy for each individual node and the whole network, and that certain trends emerge between agents that allow some microgrid agents to operate at a lower cost than others.