From inverter string to market bid on one edge-first stack. Industrial-grade SCADA, AI forecasting with published error, and market intelligence — and we show our work.
A unified intelligence platform for utility-scale solar and storage operations — every layer from inverter to market built on a single source of truth.
Monitor every PV string across every inverter in real time. Detect underperformance, ground faults, and degradation before they cost you yield.
ML models trained on your plant's own history. P10/P50/P90 bands, 8.3% day-ahead nMAE — measured on issued forecasts, method published.
Day-ahead and intraday bid construction against forecast prices. You or your BRP submit — the schedule exports ready to go.
Warranty-bounded battery dispatch across arbitrage, imbalance and modelled ancillary streams. 20.64 MWh in commissioning today.
Active alerts route to tickets. Tickets resolve into KPIs. KPIs roll into regulator-ready reports.
Daily, monthly, financial, and settlement-grade reports — generated on schedule, delivered to your stakeholders.
Traders and plant owners share a single source of truth — but each gets a UI, KPI surface, and tooling tuned to how they actually work.
Run intraday and day-ahead positions across multiple PV + BESS portfolios. Build bids against price forecasts, model curtailment hedges, and reconcile P&L per asset before the imbalance settlement window closes.
Keep visibility from substation to inverter string without spinning up a SCADA team. Track production, string health, and warranty events — and get market-ready bid recommendations you (or a partner BRP) can submit without staffing a trading desk.
Sensor data, grid metrics, and financial markers unified into one schema. Edge-deployed, cloud-synced, market-connected — your plant keeps trading even if the internet goes down.
Eliminate data silos. Every reading from every device flows into one normalized time-series schema.
Runs on-site on embedded Linux. Polls Modbus TCP every 30 seconds with deterministic latency — no cloud round-trip.
Forecasts, market dispatch, fleet rollups, and reports run in the cloud — orchestrating every edge node.
“Your plant is producing what your monitoring says. The question is: what should it be producing?” DYNVOLT polls performance data from every inverter, every string, every node every 30 seconds — benchmarking measured string current against model-expected current continuously, with I-V sweeps on schedule.
ML models trained on your plant's own history produce P10 / P50 / P90 bands — not single-point forecasts. 8.3% day-ahead nMAE, measured on issued forecasts and published in full. Push them straight into your day-ahead bid strategy.
Overlay day-ahead and intraday prices on your forecasted production curve. The dispatcher recommends optimal power limits, BESS charge windows, and curtailment moves to sell at peak rates.
Most operators run a separate vendor for SCADA, forecasting, market access, and storage dispatch. The handoffs cost data fidelity, latency, and revenue. DYNVOLT integrates all four into a single edge-first platform — one schema, one dashboard, one bill.
Modbus TCP polling at 30 seconds. Per-string DC current and voltage. 14-day edge buffer keeps history gap-free through WAN outages. Set-point write-back gated by RBAC.
Multi-source numerical weather prediction, median-combined, corrected by per-plant gradient-boosted models retrained nightly on that site's own history. P10 / P50 / P90 bands, 8.3% day-ahead nMAE — method published.
Day-ahead and intraday bid construction against forecast prices across European markets. You or your BRP submit; DYNVOLT never places bids or takes custody of trading revenue.
Dispatch bounded by the manufacturer's warranty envelope — cycle count, depth of discharge, rate and thermal limits enforced as hard constraints. Co-optimized with co-located solar so clipping recovery and curtailment hedging are built in.
Most operators run separate vendors for SCADA, forecasting, market access and storage dispatch. DYNVOLT builds all four on one schema. We are not going to tell you nobody else does — we will show you how our layers share data in a demo.
Track open tickets, 30-day availability, and fault Pareto across the fleet.
Per-string SoC, net power flow, and revenue projection across the storage fleet.
Severity-sorted alert queue with 48-hour volume trend and one-click acknowledgement.
Daily, monthly, financial, and grid-operator reports delivered on schedule.
We audit your inverters, loggers, meters, and grid contracts. Confirm Modbus maps, PPA terms, and BRP setup.
Embedded Linux node ships, racks, and enrolls itself. Our most recent plant went from gateway on site to live telemetry in 2 days — full production module set in 7.
Forecasting begins on a generalised baseline and switches to a per-plant model as site history accumulates. Meaningful site-specific gain takes months, not days — we tell you where you are on that curve.
Day-ahead and intraday bids export ready for you or your BRP to submit. Daily and monthly reports auto-generate to your stakeholders.
We integrate at the protocol level, not the vendor level — any device exposing a documented Modbus TCP map can be added. Our most recent variant took two engineering days.
MarketsEuropean power markets now trade and settle in 15-minute blocks, not hours. One hour became four — quadrupling the moments your solar forecast can be wrong, exactly where solar is most volatile. Why intra-hour netting is gone, why batteries win, and what has to change end to end in a trading and dispatch stack.
Architecture"EMS" means five different products depending on who's selling. A vendor-neutral guide to evaluating energy management systems for utility-scale solar and hybrid plants — the eight criteria that separate a system that pays for itself from shelfware, plus a scoring rubric and the red flags.
BESSA battery rarely pays back on one revenue line. How energy arbitrage, imbalance correction, and capacity stack on the same asset — why they compete for one shared state of charge, and the dispatch layer that arbitrates between them every hour.
We publish our forecast error, our worst day, and what we have not built yet. Ask us for the numbers — then ask any other vendor for theirs.