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SurveyCTO & Field DataMulti-State India (6 States) • 2019–2021

ACCESS: Multi-State Energy Access & Use Baseline

State-of-the-art energy access baseline administering Probability Proportional to Size (PPS) quantitative surveys to 9,000 households.

Client / OrgCEEW, Johns Hopkins SAIS, and Yale-NUS
Domain AreaSurveyCTO & Field Data
GeographyMulti-State India (6 States)
Timeline2019–2021
Visual record of ACCESS: Multi-State Energy Access & Use Baseline
Figure 1.0 — Platform context and interface overview9,000 Households · 6 States

Architectural Overview

Programmed complex SurveyCTO instruments for the largest multi-state energy access evaluation in India. Implemented probability-proportional-to-size (PPS) household sampling algorithms, appliance electricity load calculators, clean cooking fuel adoption indices, and automated daily data auditing pipelines.

Technical Deliverables & Highlights

  • ✓Rigorous probability proportional to size (PPS) sampling verification in XLSForm
  • ✓Daily automated data scrubbing and consistency validation in Python
  • ✓High-resolution energy consumption and solar mini-grid tariff modeling
  • ✓Publication-grade dataset generation cited in Nature Energy and policy briefs
Technology Stack & Standards
SurveyCTOEnergy EconomicsPPS SamplingPython ETLCEEW / Johns Hopkins

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