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BESS and solar asset optimization and trading

The platform provides automated operational management of solar parks and BESS assets and participation in electricity markets. AI models analyze market prices, weather, and real-time SCADA data to predict generation, prices, and imbalances, and optimize trading strategy in Day Ahead, Intraday, and balancing markets, maximizing customer revenue.

ML
Predictor
Automation
Analytics
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Problem it solves

  • Electricity markets are becoming increasingly dynamic, with significant price fluctuations across multiple markets (Day Ahead, Intraday, balancing).
  • Solar parks without active and intelligent management are increasingly unable to generate stable profits, as electricity prices are often very low or even negative in the middle of the day.
  • Manual asset management and trading cannot effectively respond to such real-time changes, resulting in untapped revenue potential.

Business impact

1. Increases asset revenue by leveraging multiple markets simultaneously and a dynamic strategy. 2. Reduces imbalance costs through more accurate forecasts and real-time adjustments. 3. Minimizes manual work and operational risk by automating decision-making and market operations. 4. Enhances asset utilization efficiency and allows customers to focus on portfolio development rather than day-to-day operations.

How it works

1

Datu ieguve

The platform combines forecasting, optimization and trading execution in a single system.

2

MI apstrāde

AI models continuously predict prices, solar generation and imbalance using more than 9 000 features from more than 20 data sources.

3

Rezultātu piegāde

Optimization algorithms distribute power between BESS and solar assets in real time and choose the most profitable market combination.

Who it is for

Management
Surgery
Production

Indicative ROI calculator

Configured for company research and risk evaluation work.

Indicative annual savings
10,886 €
Time freed monthly
37.8h
Hourly rate (EUR/h)
24 EUR
Estimate based on 6 team members and 90 companies reviewed per month. This scenario could free about 37.8 hours per month.
The product description explicitly mentions: 100-120 hours (0.8 FTE).

At a glance

Time saved100-120 hours (0.8 FTE)
Industries
EnergyFinanceManufacturing
Maturity level
IdeaMVPPilot completedDeployedScaling

Technical details

Implementation requirementsClient consent may be required to retrieve historical data from Sadales tīkls STEP platform. In the preparation phase, we provide: - Development of a financial model - Analysis of technical regulations and project development - Conclusion of a service agreement In the technical phase, we provide: - Connection of the facility to the system - RTU configuration and programming - Integration with the asset's SCADA system - Qualification of the asset for participation in the balancing capacity market As a result, the asset is fully integrated and ready for participation in electricity markets.
Customization options
Highly customizableConfigurable dashboards / analytics

About the company

Forward IT Consulting
Forward IT Consulting
Our own developed AI solutions: - Solar generation forecasting model at national level and individually for each solar park - Imbalance direction and volume forecasting model - Next day and current day electricity price forecasting models The solutions are based on historical and real-time data from more than 20 different systems, including ENTSO-E, Baltic Transparency Dashboard, Nord Pool, etc. The data used includes: - electricity and balancing market prices - weather and solar generation forecasts - real-time data of customer assets from SCADA systems In total, we maintain and regularly update more than 9 000 different parameters. Our own developed forecasting models continuously update forecasts and dynamically adjust calculations to the current state of the energy system.
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BESS and solar asset optimization and trading
Contact Forward IT Consulting