TrueLens
Mr. Lubomir Gradev
A PERSONAL INVITATION TO EXPLORE

Welcome, Mr. Lubomir Gradev.

Thank you for taking a look. This is TrueLens: an idea for connecting the knowledge inside an organisation with the signals that reveal what comes next. Prepared for you, through the lens of photovoltaic energy and VESS vanadium flow battery solutions.

Start with the data
A CONVERSATION ABOUT POSSIBILITY / 01
KNOWLEDGE × DATA × FORESIGHT

See clearly.Think ahead.Act wisely.

What if you could ask your solar plant and energy storage a better question? Connect trusted documentation, operational data and predictive models in one conversation. Understand the past. Explore the next decision.

01 — 06A clearer view of today.
A better question about tomorrow.
THE KNOWLEDGE FIELD
08 INPUTS / ONE CONNECTED VIEW
≡Technical manuals01
⌁Inverter telemetry02
§Rules & standards03
☼Weather & irradiance04
⌘VRFB state of charge05
↗Grid & market data06
◷Maintenance history07
⊞Flow, heat & auxiliaries08
✳ONE QUESTION. MANY CONNECTED SOURCES.

“With lower solar output tomorrow, how should we compare VESS discharge schedules against reserve needs, conversion and pump losses, and the evidence behind each forecast?”

Source-backed reasoningModelled scenarios
RETRIEVE → ANALYSE → ANTICIPATECONCEPT VISUAL
BUILT AROUND ONE PRINCIPLE

Understand what happened. Explore what could happen next.

↓

Your data has a story.
Your documents
give it context.

A falling yield curve tells you something changed. A battery schedule adds another question: when should that energy be available? Solar forecasts, storage telemetry and technical documentation belong in the same view.

TrueLens is a vision for that connection. Ask naturally. Trace the evidence. Visualise the patterns. Compare future scenarios before choosing where to invest time, attention and resources.

One energy system.
A deeper conversation.

Explore how solar performance and VESS storage could connect through evidence, reinforced learning and reviewed operational decisions.

    ILLUSTRATIVE SCENARIO · NOT A LIVE SYSTEM
    ⌘A conversation with your knowledge···
    T↗

      Designed for evidence-led assistance. Important decisions remain with authorised people.

      Knowledge you can trace.
      Analysis you can question.

      RAG retrieves the applicable source passages for the conversation. Analytical tools calculate trends and forecasts from connected data. The LLM brings both into an explanation, with sources, assumptions and uncertainty visible.

      01

      Connect the evidence.

      Retrieve controlled documents and match operational observations to the right asset, timestamp and context.

      02

      Analyse and explain.

      Use analytical models to compare performance and quantify scenarios. Ask the LLM to explain the results alongside the supporting sources.

      03

      Learn from the outcome.

      Capture observations, reviewed root causes and corrective actions. Measure effectiveness and reinforce the lessons through targeted training.

      Sources, not guesswork.Context, not isolated answers.People in control.

      Different worlds.
      The same knowledge gap.

      The source material changes. The need for an answer you can act on doesn't.

      Solar has a rhythm.
      Storage adds choice.

      VESS vanadium redox-flow batteries store energy in liquid electrolyte that circulates between tanks and electrochemical stacks. Stack configuration and electrolyte volume allow power and energy capacity to be sized separately.

      TrueLens could connect that physical system to a shared view of documentation, telemetry and forecasts. Ask what changed, explore a schedule, and follow the evidence behind the answer.

      Technology reference: VESS
      01 / DISPATCH

      When should energy move?

      Compare solar surplus, demand peaks and an end-of-day reserve target. Show net delivery after conversion and auxiliary consumption.

      Compare two schedules ↗
      02 / PERFORMANCE

      Where is energy going?

      Track energy at consistent meter boundaries. Compare stack and PCS behaviour with pump load, flow and temperature to guide an investigation.

      03 / FORESIGHT

      What deserves attention next?

      Explore drift in operating trends, forecast deviations and maintenance needs. Bring the relevant VESS documentation into each reviewed hypothesis.

      A clearer picture.
      A longer view.

      Move between solar performance, loss breakdowns, forecast ranges and battery schedules. Compare energy delivered now with energy retained for later, and inspect the assumptions behind each decision.

      SOLAR + STORAGE ANALYTICS STUDIOSYNTHETIC DATA · INTERACTIVE CONCEPT

      Explore the underlying values

      Illustrative data throughout. A pilot would connect your sources and validate analytical models against observed outcomes. Forecast ranges express uncertainty; they are not promised results.

      See relationships.

      Overlay solar yield, demand and state of charge. Surface patterns a single metric hides.

      Locate the difference.

      Map deviations across inverters, stacks and auxiliary equipment. Connect each signal to the asset and its history.

      Compare the possibilities.

      Compare solar forecasts, storage schedules and reserve targets. Evaluate net energy, uncertainty and the next investigation.

      AN INVITATION TO MR. LUBOMIR GRADEV

      Start with one energy system.
      Build a clearer view together.

      Mr. Gradev, let’s choose a solar-plus-VESS question for a focused pilot: the data available, the decision to improve, and the outcomes we would measure together.

      Your domain insightA defined data questionAn outcome we can evaluate
      LET'S START WITH YOUR WORLD

      What could we
      solve together?

      Let’s explore a solar or VESS storage use case, the data behind it and what a useful first pilot would demonstrate.

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      ILLUSTRATIVE SOURCE

      This excerpt was created for the presentation. It is not an actual operating instruction, regulatory source or safety recommendation.

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