Self-Consumption and Arbitrage Optimization (ECopti)

ECopti is an advanced optimization algorithm designed to maximize self-consumption and enable arbitrage opportunities. It intelligently manages energy costs by leveraging fixed daily tariff profiles, daily TSO spot prices for European markets, or a combination of both. The controller predicts load consumption based on site-specific historical data and forecasts PV production using past generation records, local weather patterns, and site conditions. This ensures that energy storage and consumption are always optimized for efficiency and cost savings.

Smarter energy, optimized for every day.

Advanced cost optimization: Combines fixed daily tariffs and daily TSO spot prices to ensure maximum economic benefit.

Intelligent self-consumption: Maximizes on-site energy usage through predictive control and flexible energy storage management.

Data-driven forecasting: Predicts load demand and PV production using historical data, weather patterns and site-specific conditions.

Automated energy orchestration: Continuously optimizes storage, consumption and energy trading for highest efficiency.

Flexible integration: Designed to work across different sites, hardware setups and market configurations with minimal adaptation.

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