NOUS logo

Innovations

Back to results page

Energy Prediction and Energy Data Lifecycle Management

Problems addressed

Inaccurate renewable energy forecasts lead to severe wholesale electricity pricing errors, high balancing penalties, and manual reporting overheads.

Unique Value Proposition

Fuses weather, plant IoT, and market data using HPC resources and quantum-enhanced ML to deliver precise intraday energy generation forecasting and market price optimization.

Validated UC & Key Performance Benchmark

(Where was it tested, and what exact performance improvement or resource reduction did it achieve?)

Tested in:

Hard metrics:

  • nRMSE < 10% Forecasting Accuracy
  • <2-hour client onboarding speed
  • Measured reduction in data ingestion latency and forecasting time

Target Stakeholder Segments

(Who adopts/Hands-on Users)

Energy Market Analysts, Renewable Energy Source (RES) Plant Managers, Utility Data Engineers, and Energy Service Companies (ESCOs).

Key Industry / Vertical Markets

(Where it is deployed)

Energy Utilities, Renewable Power Generation, Wholesale Electricity Trading, and Smart Grids.

License Model & IP and Commercial Strategy

(Open Source License)

Open Source License:

Commercial Streams: Monthly/annual SaaS subscriptions; Custom ML site training fees; Utility SLAs & core software licensing; Performance-based tiering & integration fees

Proprietary Strategy: Software Copyright & Trade Secret; Confidentiality (NDAs)

Availability

(Code Repository link)

Open Source License:

Commercial Streams: Monthly/annual SaaS subscriptions; Custom ML site training fees; Utility SLAs & core software licensing; Performance-based tiering & integration fees

Proprietary Strategy: Software Copyright & Trade Secret; Confidentiality (NDAs)

Estimated Time to Market

~1 year post-project
Back to results page

Social Media

Linkedin Twitter Youtube

Other news items