Smart Village Load Planning Simulations in Support of Digital Energy Management for Off-grid Rural Community Microgrids
Summary. Engineers designing renewable energy systems for isolated rural villages lack real demand data to optimize microgrid planning. This paper presents a computer simulation method that generates realistic hourly electricity load profiles for off-grid villages by modeling typical appliances and household behavior patterns. The simulated load data can be exported into energy modeling software to help engineers test smart microgrid designs, economic optimization strategies, and demand response systems before physical installation.
Cite this article
Prinsloo, G., Dobson, R. T., & Mammoli, A.. (2017). Smart Village Load Planning Simulations in Support of Digital Energy Management for Off-grid Rural Community Microgrids. Current Alternative Energy. https://doi.org/10.2174/2405463102666171122161858
Prinsloo, Gerro, et al. “Smart Village Load Planning Simulations in Support of Digital Energy Management for Off-grid Rural Community Microgrids.” Current Alternative Energy, 2017. https://doi.org/10.2174/2405463102666171122161858.
Prinsloo, Gerro, Robert T. Dobson, and Andrea Mammoli. 2017. “Smart Village Load Planning Simulations in Support of Digital Energy Management for Off-grid Rural Community Microgrids.” Current Alternative Energy. https://doi.org/10.2174/2405463102666171122161858.
@article{prinsloo-2017-smart-village-load-planning-simulations,
title = {Smart Village Load Planning Simulations in Support of Digital Energy Management for Off-grid Rural Community Microgrids},
author = {Gerro Prinsloo and Robert T. Dobson and Andrea Mammoli},
journal = {Current Alternative Energy},
year = {2017},
doi = {10.2174/2405463102666171122161858},
url = {https://doi.org/10.2174/2405463102666171122161858}
}
TY - JOUR TI - Smart Village Load Planning Simulations in Support of Digital Energy Management for Off-grid Rural Community Microgrids AU - Gerro Prinsloo AU - Robert T. Dobson AU - Andrea Mammoli JO - Current Alternative Energy PY - 2017 DO - 10.2174/2405463102666171122161858 UR - https://doi.org/10.2174/2405463102666171122161858 ER -
Details
- DOI
- 10.2174/2405463102666171122161858
- Countries
- South Africa, United States
- Regions
- Africa, North America
- Categories
- energy, regional-innovation-systems
- Added
- 2026-04-28