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Innowatts — Behind-the-meter smart-meter load and generation data at national scale — the company cites a global portfolio of 45 million smart meters (its leadership page cites a 52 million-meter customer base). Byproduct assets: granular interval consumption series per meter/premises, on-site generation series from rooftop solar, battery storage charge/discharge cycles, EV charging session records, and derived forecast-vs-actual pairs from its short- and long-term load forecasting plus DER hotspot planning work (e.g. the SSEN programme running to 2035). Also time-of-use pricing experiment da…
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Behind-the-meter smart-meter load and generation data at national scale — the company cites a global portfolio of 45 million smart meters (its leadership page cites a 52 million-meter customer base). Byproduct assets: granular interval consumption series per meter/premises, on-site generation series from rooftop solar, battery storage charge/discharge cycles, EV charging session records, and derived forecast-vs-actual pairs from its short- and long-term load forecasting plus DER hotspot planning work (e.g. the SSEN programme running to 2035). Also time-of-use pricing experiment data (City of Fargo bundled parking/charging tariffs).
From 10 yearsCoverage Utilities · Information TechnologyAsset class Equities · Commodities
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Innowatts — Behind-the-meter smart-meter load and generation data at national scale — the company cites a global portfolio of 45 million smart meters (its leadership page cites a 52 million-meter customer base). Byproduct assets: granular interval consumption series per meter/premises, on-site generation series from rooftop solar, battery storage charge/discharge cycles, EV charging session records, and derived forecast-vs-actual pairs from its short- and long-term load forecasting plus DER hotspot planning work (e.g. the SSEN programme running to 2035). Also time-of-use pricing experiment da…
Innowatts offers (Alternative, Geospatial, Fundamental, Supply Chain) — Very large: 45M smart meters × 24-96 interval readings/day ≈ 1.1-4.3 billion meter-readings/day across the portfolio, i.e. roughly 0.4-1.6 trillion interval records per year before aggregation.
Non-intrusive load monitoring (NILM) and appliance classification model training; short- and long-term electricity demand forecasting; EV charging demand and price-elasticity models (preference data on tariff response); distributed energy resource siting and network-investment optimization; synthetic household energy-behaviour data for building and smart-home simulators; grid stress and peak-demand scenario generation; battery degradation and storage-arbitrage strategy training.
The data is with 10 years of history.
Coverage spans US, UK, China/HK, Europe, Japan; Electric Utilities, Application Software; alternative, geospatial, fundamental, supply_chain; equities, commodities.
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