Energy Management System
Optimize the BESS by balancing physical constraints and market opportunities
Forecasts, Battery Intelligence and economic signals to turn asset control into an optimized decision.
muleML’s Energy Management System combines operating data, forecasts and technical constraints to determine how to use the BESS under different market and operating conditions. The aim is not simply to control the asset, but to orchestrate it with awareness of degradation, risk and economic value.
From data to decisions
From data to operational decisions
An effective EMS must decide what to do, when and at what intensity, bringing together asset behavior, forecasts and economic conditions.
Multi-horizon
forecasting
Anticipate what will happen
Forecasts of prices, loads and renewable generation across different time horizons, supporting operational and market decisions.
Degradation-aware dispatch
Optimize without ignoring battery cost
The operating strategy considers how decisions affect degradation and asset life, rather than just the immediate economic benefit.
Co-optimization
Physical limits and markets in one problem
Power, energy, SoC and other technical constraints are assessed together with prices, services and economic opportunities.
Risk-adjusted
returns
Beyond maximum theoretical revenue
Strategies can be assessed against expected returns, uncertainty and the operating risk of the asset over the investment horizon.
Demonstration
See it in action
From forecasts to the dispatch schedule: explore how the EMS combines data, constraints and economic signals to build an operating strategy.
Energy orchestration
From asset control to energy orchestration
The BESS does not operate in isolation. Its value depends on the ability to coordinate physical assets, forecasts and signals from the energy system.
Markets and signals
Forecasting
Optimization Engine
Dispatch & Control
Energy assets
Scenarios
One approach, different scenarios
The same forecasting and optimization architecture can be adapted to energy systems with different objectives, constraints and revenue models.
AI data centers
Coordination of BESS, the grid, generation and energy-intensive loads.
Standalone and co-located
Optimization of independent storage systems or systems integrated with renewable sources.
Retailers and aggregators
Management of portfolios and flexibility in relation to markets, prices and contracts.
Microgrids and multi-site
Coordination of distributed assets, loads and generation across one or more sites.
Battery Intelligence + EMS
Optimize with knowledge of battery condition
The Energy Management System integrates Battery Intelligence capabilities to consider BESS condition, performance and degradation in operational decisions. The strategy therefore goes beyond asking how much energy can be charged or discharged, taking account of how asset use can affect performance and life over time.
Battery Intelligence
condition · performance · degradation
EMS Optimization
Operational value
+
Asset protection
Battery Intelligence
condition · performance · degradation
EMS Optimization
Operational value
+
Asset protection
Turn every operational decision into an optimized decision
We build control strategies that bring together assets, forecasts, markets and battery degradation.
Let's discuss your energy system