Cited by 64Hybrid Renewable Energy SystemsMicrogrid Control and OptimizationIntegrated Energy Systems Optimization

Techno-economic optimization and social costs assessment of microgrid-conventional grid integration using genetic algorithm and Artificial Neural Networks: A case study for two US cities

Nagapurkar, Prashant, Smith, Joseph D.·2019·Journal of Cleaner Production

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Crossref · 10.1016/j.jclepro.2019.05.005

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48 of 48 references verified0 citation errors · 0 not checkable

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  • Studies have considered effects of carbon pricing on economic growth and energy intensity, or on electricity prices.

    “Studies have considered effects of carbon pricing on economic growth and energy intensity [233,234], or on electricity prices [569].”

    From Tackling climate change with machine learning (2023) · cites this paper as [569]

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Authors
Nagapurkar, P., & Smith, J. D.
Affiliations
Missouri University of Science and Technology (US)
Corresponding author
Smith, Joseph D.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2019-08
Volume
229
Pages
552-569
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2944572374
Cited by
64
References
48
Citations by year
2026: 3 · 2025: 3 · 2024: 6 · 2023: 13 · 2022: 15 · 2021: 14 · 2020: 8 · 2019: 2
FWCI
3.42
Type
journal article
Language
en
Open access
closed
Locations
Journal of Cleaner Production (publishedVersion)
Funders
Wayne and Gayle Laufer endowment
Topics
  • Physical Sciences › Energy › Energy Engineering and Power Technology › Hybrid Renewable Energy Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
Keywords
techno-economic optimization, levelized cost of electricity, genetic algorithm, artificial neural networks, load forecasting, carbon tax, life cycle assessment, CO2 emissions, photovoltaics, wind turbines, lead-acid batteries, fuel cells, electrolyzer, hydrogen storage, residential microgrid, Fargo, Phoenix

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