The startup offers an artificial intelligence-based modeling analysis platform that integrates aerospace and satellite imagery with socioeconomic data to provide real-time insights into photovoltaic energy production. This technology enables energy operators to assess solar output without requiring a meter connection, enhancing the integration of renewable energy sources.
Funding
$900K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Energy operators lack accurate, real-time insights into photovoltaic (PV) energy production, especially from smaller, distributed installations, hindering efficient grid management and market operations. Existing methods often require costly meter connections and fail to provide comprehensive visibility across all PV assets in a region. This lack of granular data makes it difficult to optimize renewable energy integration and predict overall energy supply.
Solution
Nectaware offers an AI-powered modeling and analysis platform that integrates aerospace and satellite imagery with socioeconomic data to provide real-time monitoring and predictive forecasting of PV energy generation. The L.U.C.Y. software can identify and map PV plants, even small-scale ones, using satellite imagery and AI. It monitors and forecasts the energy production of each plant without requiring direct meter connections. This enables grid operators and energy traders to access previously unavailable data, optimize energy distribution, and enhance grid stability. Nectaware also provides a cloud-based platform, E4SIGHT, for forecasting electricity demand, leveraging real-time consumption data, weather forecasts, and socioeconomic factors to improve dispatching and reduce imbalances.
Target Audience
Nectaware's primary customers include energy grid operators (TSOs and DSOs), energy traders, utilities, renewable energy investors, insurance companies, and real estate developers involved in energy communities.
Features
- Satellite-based PV plant identification and mapping, including small-scale installations
- Real-time monitoring of PV energy generation using satellite imagery and AI-driven analysis
- Predictive forecasting of PV energy production up to three days in advance
- Cloud-based platform for electricity demand forecasting (E4SIGHT)
- Integration of real-time consumption data, weather forecasts, and socioeconomic factors for demand prediction
- Algorithms for detecting reactive energy and managing consumption thresholds
- Mobile app for PV plant owners to monitor production, consumption, and access market opportunities
- Historical irradiance data for investment analysis and performance monitoring