Live Shadow: Virtual BESS Deployment

Do not size a multi-million-dollar BESS blindly

Conventional pre-deployment sizes a battery from a short historical load profile — a single static snapshot. That carries two expensive risks: a sizing mismatch, where the system is over-sized and Capex is wasted (or under-utilised), and performance uncertainty, with no proof of ROI or maximum-demand (MD) shaving until the battery is already installed.

Live Shadow removes the guesswork. It validates the sizing, the dispatch strategy and the savings against your real site load before any hardware is bought — turning a blind purchase into an evidence-based decision.

What Live Shadow Mode does

Live Shadow Mode runs a virtual battery against your site. You provide the actual specifications of the proposed system — size (kW / kWh), the Power-SOC curve, capacity, degradation, response time, and any virtual PV — and it dispatches that virtual BESS as if it were physically installed.

It supports two scenarios: BESS assumed, for pre-deployment validation before you buy; and BESS installed, for post-deployment monitoring of a real system. In both, it validates sizing, reveals how the battery behaves, tests EMS (EDM) performance, identifies the system's limitations, and lets you optimise the configuration against real results.

Two modes: historical and live

Historical analysis replays your historical load profile and illustrates the virtual MD shaving a given battery would have delivered. Live Shadow analyses your real load in real time, showing the actual maximum demand and the virtual MD shaving as it happens.

Running true live shadow uses an EWISER Edge Box installed at the site's power meter for real-time data flow, monitoring and command execution. It is compatible with multi-brand meters over Modbus RTU/TCP, so it fits existing site infrastructure — while the battery itself stays virtual until you decide to buy.

The same EDM engine, governed by Lambda

Live Shadow runs on the same algorithm, logic and decisions as EWISER's EDM — there is no simplified stand-in. From the load profile and the battery size, the EDM computes the most optimised MD target to defend, using EWISER's proprietary mathematical algorithm that assigns a confidence level to that target, known as Lambda (λ).

Dispatch follows a reservoir control law. A Ceiling is the monthly MD target the battery must defend to cut demand charges; a Guard is a peak detector that conserves energy for genuine high-load hot days; and a Floor is a baseline safety net that avoids needless discharging and battery cycling. Discharge prioritises defending the Ceiling, while charging happens below the Floor — by default after the peak hour, and configurable — so it never creates a new peak.

Because decisions use learned historical thresholds rather than fallible forecasts, the strategy is breach-proof: it maintains sustainable discharge capacity and locks backup reserves against sudden demand spikes, per tick, without betting the result on a prediction.

What you see in real time

Live Shadow visualises the EDM in action: the real grid load, the MD target, the net grid load with the BESS, the battery's discharge power (kW) and state of charge (SOC %), the peak hour, and the estimated savings and payback for the size under test. You can experiment with several BESS sizes and compare how each responds to actual site demand.

Proven in the field: InverPower, Kuala Lumpur

Live Shadow is running in a live deployment at InverPower's office in Kuala Lumpur, Malaysia. A virtual 5 kW / 20 kWh battery shadows the site's real metered load, with the EDM dispatching in real time inside the 14:00–22:00 peak window.

Running the reservoir control law with an adaptive Lambda (λ) — the EDM sets the maximum-demand target itself rather than a fixed number — against roughly two months of site telemetry, the live shadow logged a would-be maximum demand of about 1.0 kW against the site's actual 1.1 kW: an MD shift of −11.3%. Actual net grid power and the EDM's would-be net grid load are logged side by side, continuously, on the real site.

It is a working example of prove-before-you-buy on a real commercial site, not a laboratory demo — the maximum-demand reduction is validated against live metered load with no battery installed.

Maximum Demand shaving in Malaysia (TNB)

The InverPower deployment is in Malaysia, where the largest single lever on a commercial or industrial electricity bill is the TNB Maximum Demand (MD) charge — set by the highest half-hour of demand in the month. Shaving that peak cuts the charge directly, which is why MD shaving is the primary value stream for Malaysian C&I battery storage.

Live Shadow validates exactly that on real data: the EDM defends a Maximum Demand ceiling against the site's actual TNB-metered load and logs the would-be MD reduction before any battery is bought — the InverPower shadow above holds a 2.9 kW MD ceiling and logs an −11.3% MD shift. For a Malaysian site, proving the MD shave on live operation rather than a static study is what turns a TNB demand-charge saving from a projection into evidence. See the Malaysia (TNB) market page for the tariff detail.

For EPCs, distributors and developers

Live Shadow is a sales instrument as much as an engineering one. An EPC can test different BESS configurations against a customer's live site load, identify limitations, and show the savings accruing before quoting hardware; a distributor can let downstream customers trial storage value with zero capital risk; a developer can de-risk a portfolio site by site with live proof rather than a spreadsheet.

It is delivered through the EWISER partner platform, alongside sizing, ROI optimisation and investable-report generation — so the same analysis carries from acquisition, through Live Shadow validation, to deployment without re-work.

Frequently asked questions