Make resources work together.
Coordinate generation, storage, and demand against shared operating objectives.
EXCITE ENERGY / OPTIMAL ENERGY
Distributed power.
Coordinated intelligence.
Optimal Energy is Excite Energy’s MAHCA-based intelligent control platform for microgrids, energy storage, and virtual power plants. It forecasts changing conditions, coordinates distributed resources, and adapts control across the energy system.
OPTIMAL ENERGY / POWERED BY MAHCA
ENERGY / A SYSTEM IN MOTION
Coordinate solar, storage, loads, and utility interaction within a microgrid.
Intelligence at the asset. Coordination across the network.DISCOVER THE PLATFORM
Manage energy with the asset in mind.
Shape charge, discharge, and control decisions around equipment conditions and longevity objectives.
Dispatch with foresight.
Bring forecasts, operating constraints, and economic priorities into the next energy decision.
01 / ONE PLATFORM. THREE SOLUTIONS.
From the device
to the distributed grid.
Optimal Energy connects device-level intelligence with system-level dispatch. Deploy it around a microgrid, a storage system, or a portfolio of distributed energy resources.
MICROGRID MANAGEMENT
Coordinate the whole energy system.
Bring solar, batteries, generators, utility supply, and controllable loads into one adaptive control process. Forecast demand and resource availability, then coordinate power assignments as conditions change.
CONTROL FOCUS
Balance supply and demand while accounting for power quality, equipment limits, and utility requirements.
Use available resources efficiently while keeping local decisions aligned with the wider system.
BATTERY & SUPERCAPACITOR OPTIMIZATION
Control storage for the demand ahead.
Coordinate battery and supercapacitor charging and discharge through predictive feedback. Update device models from operating data and respond to changing load requirements with asset conditions in view.
CONTROL FOCUS
Connect state estimation, voltage, current, and temperature with storage decisions and equipment constraints.
Manage energy storage and release with both immediate power needs and long-term asset performance in view.
DERS & VIRTUAL POWER PLANTS
Make distributed assets act in concert.
Aggregate participating energy resources into a coordinated virtual power plant. Combine site and device information with demand, weather, and market signals to schedule dispatch across a distributed portfolio.
CONTROL FOCUS
Align local resource availability with portfolio demand, utility commitments, and economic objectives.
Coordinate generation, storage, and flexible loads across sites through a shared dispatch model.
02 / THE FOUNDATION
MAHCA intelligence.
Applied to energy.
Optimal Energy models individual sources and major loads as adaptive agents. Each agent tracks its own behavior while a shared model of the network coordinates the system. Forecasting and optimization turn those models into device-level goals and control actions.
Explore our world models01
Predictive feedback control
Use forecasts and observed device behavior to guide the next control action.
02
Mean-field synchronization
Align local agents with a shared representation of network conditions and system objectives.
03
Adaptive modeling
Update device models as new observations reveal changes in operating behavior.
03 / A CONTINUOUS CONTROL LOOP
Sense the change.
Coordinate the response.
Operating data informs the model. The model informs control. Every new observation closes the loop.
- 01 / OBSERVE
Read the system.
Bring together device measurements, demand signals, weather, and utility conditions.
- 02 / ANTICIPATE
Model what comes next.
Estimate asset state and forecast behavior across possible operating conditions.
- 03 / COORDINATE
Align the decisions.
Compute dispatch and local control goals within equipment limits and operating rules.
- 04 / ADAPT
Close the feedback loop.
Apply control actions, observe the response, and update models as the system evolves.
THE SCIENCE BEHIND THE CONTROL
Data Hamiltonians
Represent device dynamics, controls, and constraints in a common model.
Data Tomography
Use sensor evidence to update the model’s representation of the system.
Mean-field coordination
Connect each agent’s local behavior with the state of the wider network.
04 / SIMULATION & SYSTEM DESIGN
Model the system.
Then put it to work.
Optimal Energy’s simulator brings generation, storage, utility supply, and changing loads into a shared environment. Evaluate configurations and control strategies before applying them to a physical installation.
The same modeling approach supports anticipatory management during operation, connecting forecasts with the next dispatch decision.
Discuss your system configurationConfigure the network
Represent sources, storage, loads, and the connections between them.
Compare operating strategies
Evaluate dispatch choices against demand, costs, device limits, and operating rules.
Prepare for changing conditions
Examine how variable generation, load changes, and network constraints affect the system.
APPLICATION CONTEXTSResidential and commercial microgrids · Storage systems · Distributed resource portfolios · Data center power systems
05 / A CLOSER LOOK
Good questions.
Clear answers.
What is Optimal Energy?
Optimal Energy is Excite Energy’s MAHCA-based intelligent control platform. It brings microgrid management, battery and supercapacitor optimization, and DER / virtual power plant coordination into one product architecture.
Which resources can it coordinate?
The architecture covers solar PV, batteries, supercapacitors, generators, other distributed energy resources, utility connections, and controllable loads. Device models, control interfaces, and operating rules are configured for the installation.
How does it connect to an existing energy system?
Optimal Energy connects models and dispatch logic with device measurements and control interfaces, including SCADA-oriented integration. Implementation begins by mapping the available sensors, equipment controls, protection requirements, and operating constraints.
What does the simulator do?
It provides a configurable environment for evaluating energy-system designs, operating rules, and dispatch strategies. Its models also support anticipatory management: forecasting system behavior to inform ongoing control.
Does MAHCA require a quantum computer?
No. The scientific foundations inform the modeling and control methods. Optimal Energy’s software operates on classical computing infrastructure; it does not depend on quantum hardware.
THE NEXT FRONTIER IS A SHARED ONE.
Put intelligence
at the heart of your energy system.
Connect with Excite Energy about Optimal Energy for your microgrid, storage system, or distributed resource portfolio.
Discuss Optimal EnergyContinue on excite.io to connect.