Predictive Modeling of Urban Residential Power Consumption: An Explainable AI Approach to the Kenyan Prepaid Grid

Paul Obasanjo, Annette Mutinda, Adero Awuor

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DOI: 10.21203/rs.3.rs-10335415/v1
Published: 2026-07-15
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-10335415/v1,
  title = {Predictive Modeling of Urban Residential Power Consumption: An Explainable AI Approach to the Kenyan Prepaid Grid},
  author = {Paul Obasanjo and Annette Mutinda and Adero Awuor},
  year = {2026},
  doi = {10.21203/rs.3.rs-10335415/v1},
  url = {https://doi.org/10.21203/rs.3.rs-10335415/v1}
}

RIS

TY  - JOUR
TI  - Predictive Modeling of Urban Residential Power Consumption: An Explainable AI Approach to the Kenyan Prepaid Grid
AU  - Paul Obasanjo
AU  - Annette Mutinda
AU  - Adero Awuor
PY  - 2026
DO  - 10.21203/rs.3.rs-10335415/v1
UR  - https://doi.org/10.21203/rs.3.rs-10335415/v1
ER  -

APA

Obasanjo, P., Mutinda, A., & Awuor, A. (2026). Predictive Modeling of Urban Residential Power Consumption: An Explainable AI Approach to the Kenyan Prepaid Grid. https://doi.org/10.21203/rs.3.rs-10335415/v1

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crossref · retrieved 2026-11-10T14:55:53.269Z