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February 22, 20260 citationsOpen Access

Time-Series Forecasting Model Evaluation for Municipal Water Systems in Tanzania: An Efficiency Gain Assessment

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SHSally HarveyAMAmani MwalimuMKMarilyn Kinyanjui

Key Points

  • The aim is to evaluate a time-series forecasting model for improving municipal water system efficiency in Tanzania.
  • Employed a time-series forecasting model to analyze water usage patterns.
  • Utilized robust standard errors for assessing uncertainty in predictions.
  • Compared forecast accuracy against baseline methods.
  • Achieved a 15% reduction in prediction error compared to previous methods.
  • Demonstrated improved forecasting accuracy for municipal water systems in Tanzania.

Abstract

Municipal water systems in Tanzania face challenges related to efficiency and reliability, necessitating a robust evaluation method. A time-series forecasting model will be employed to forecast municipal water system usage patterns. Robust standard errors are used for uncertainty assessment. Forecasting accuracy was notably improved, with a 15% reduction in prediction error compared to baseline methods. The proposed time-series forecasting method shows promise in enhancing the efficiency of municipal water systems in Tanzania. Further research should be conducted on scaling up the model and testing it across different regions. time-series forecasting, municipal water systems, efficiency gains, Tanzania The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.

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Cite This Study

Harvey et al. (2026) studied this question.

synapsesocial.com/papers/699a9e2d482488d673cd4b6ehttps://doi.org/10.5281/zenodo.18716030
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