Solar DSM Intelligence
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Data Sources

Every dataset, API and formula the platform relies on — with live status and source classification. No source is silently substituted.

Data source classifications
OFFICIAL_SOURCEHighest authority
Physical models and regulatory
formulas with published references.
→ pvlib (GHI closure, POA, PVWatts)
→ CERC/KERC tariff rules
DATASET_DERIVEDReal-world data
Real datasets downloaded from
Kaggle, OpenStreetMap, NLR NSRDB.
→ Anikannal solar plant data
→ OSM substations (344 in Bengaluru)
→ NSRDB Himawari/SUNY India
MODEL_LEARNEDTrained on real data
ML model predictions trained on
real data.
→ solar_forecast_model.pkl (GHI)
→ cloud_risk_classifier.pkl (P(cloud))
→ Kaggle PV model (HistGBT)
FALLBACK_DEFAULTDocumented, overridable
Transparent heuristics used when
no model or data is available.
→ confidence = 1 − 0.35·cloud
→ γ = −0.0035/°C (c-Si default)
→ Dynamic risk weights (0.6/0.4)
Provenance: REAL_BENGALURU + REAL_INDIA + REAL_COORDINATE_BASED — The platform distinguishes data sourced from real Bengaluru coordinates (weather, substations) from India-wide datasets (Kaggle PV) and coordinate-based lookups (Open-Meteo at any lat/lon).
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