Ensemble machine learning and forecasting can achieve 99% uptime for rural handpumps

• Daniel L. Wilson ,

  Contributed equally to this work with: Daniel L. Wilson, Jeremy R. Coyle

  Roles Conceptualization, Formal analysis, Methodology, Project administration, Visualization, Writing – original draft

  Affiliations Civil & Environmental Engineering, University of California, Berkeley, California, United States of America, SweetSense Inc., Portland, Oregon, United States of America

  http://orcid.org/0000-0002-5142-0529

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• Jeremy R. Coyle ,

  Contributed equally to this work with: Daniel L. Wilson, Jeremy R. Coyle

  Roles Data curation, Software, Visualization

  Affiliations Biostatistics, University of California, Berkeley, California, United States of America, SweetSense Inc., Portland, Oregon, United States of America

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• Evan A. Thomas

  Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing

  * E-mail: evthomas@pdx.edu

  Affiliations Mechanical Engineering, Portland State University, Portland, Oregon, United States of America, SweetSense Inc., Portland, Oregon, United States of America

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