We support distributed energy resources such as battery storage across operating design, revenue simulation, market participation, and control platforms.
For grid-connected batteries from several megawatts to hundreds of megawatts, we combine balancing, capacity, and JEPX markets to maximize operating revenue.
We optimize batteries colocated with solar generation to shift curtailed output and capture premium revenue under the FIP scheme.
We make full use of batteries at factories, commercial facilities, and offices through peak shaving, self-consumption, and market participation.
We optimize residential battery charging and discharging for solar self-consumption, lower electricity bills, and aggregated market participation, while retaining backup-power use during outages.
We explain each market product clearly and show the operating requirements for participation.
We support available-volume calculation, bidding, control, and performance verification in line with balancing-product requirements.
We design operations around activation-order response and performance management.
We capture revenue opportunities through demand response and battery control based on market prices.
We support battery businesses across grid-scale, renewable-colocated, industrial, and residential applications, regardless of use case or size.
We cover the balancing market, capacity market, and JEPX with bidding logic tailored to each market.
Our operating model combines algorithms with professionals who understand electricity markets and on-site constraints.
ENES packages control logic and infrastructure refined through multiple demonstration projects.
Support for Diverse Battery Types — Grid-scale, behind-the-meter, renewable-colocated, and residential batteries
Multi-Market Operations — One-stop bidding, control, and settlement across balancing, capacity, and JEPX markets
Function-Level APIs — Start with only the functions you need and scale up flexibly
Custom Development — Customize screens, logic, and reports to match business requirements
White-Label Support — Offer the platform under your own brand as part of your service
| Function | Description | Availability |
|---|---|---|
| Forecasting | Demand, generation, and market-price forecasting | Available |
| Bidding and Control | Available-volume calculation, optimal control, and control commands | Available |
| Visualization | Dashboards, performance review, and reporting | Available |
| Integration | APIs, existing-system integration, OEM, and white-label support | Available |
For requirements that cannot be met through SaaS alone, we provide full-scratch development from requirements and architecture through AI forecasting models, implementation, maintenance, and operations.
Purpose-built simulators for grid-scale, FIP-colocated, and behind-the-meter batteries support business evaluation, investment decisions, and operating-plan reviews.
Evaluate business viability using optimal operating scenarios that combine revenue opportunities across multiple markets.
Simulate charge and discharge patterns that maximize FIP premium revenue and JEPX arbitrage.
Estimate the combined value of contract-demand reduction, self-consumption, and market participation.
This case study is being prepared for publication.
This case study is being prepared for publication.
This case study is being prepared for publication.
ENES was provided as SaaS to enable a behind-the-meter battery to participate in Tertiary balancing service 2. The system operates alongside peak shaving, business-continuity requirements, and facility constraints, and has maintained a 100% response success rate to market dispatch signals as of the article's publication.
We review the target assets, markets, and operating organization, then identify whether managed operations, SaaS, custom development, or simulation is the right place to start.
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