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3 Orbit Solutions Malaysia

Energy, read
in real signal.

Tenaga is the energy research arm of 3 Orbit Solutions — in-house work in solar irradiance prediction and automated ESG reporting, brought together under one unified vision.

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The arm

Tenaga is the energy research arm of 3 Orbit Solutions — pairing solar irradiance prediction with automated ESG reporting. Two research streams, drawn toward one unified vision of how clean energy is measured, forecast and reported.

In-house research

Two streams, one discipline.

Prediction and reporting — each pursued as original, in-house research, and each held to the same standard of rigor, transparency and proof.

01Suria
Solar Irradiance Prediction
In-house research

Suria

A forecasting model for surface solar irradiance — turning satellite and ground-sensor signals into hour-ahead and day-ahead generation forecasts.

  • Trained on multi-year NASA POWER satellite irradiance data, calibrated against ground sensors
  • Hour-ahead & day-ahead irradiance forecasts
  • Cloud-motion & ramp-event detection
  • Plant-level yield & curtailment estimates
Forecasting the sun, ahead of the meter
Model validated on held-out data Manuscript in preparation · target: Renewable Energy (Elsevier)
Held-out validation — LSTM vs. TFT n = multi-year NASA POWER dataset
(higher is better)
LSTM 0.9075
TFT 0.9111
MAE, W/m² (lower is better)
LSTM 55.04
TFT 51.21
02Lestari
ESG Reporting Automation
In-house research

Lestari

An automation engine for ESG and emissions reporting — pulling operational data straight into audit-ready disclosures, continuously rather than once a year.

  • Automated emissions & energy accounting
  • Framework-mapped disclosures (GHG, GRI, ISSB)
  • Source-traceable, audit-ready evidence
  • Continuous reporting, not annual scramble
ESG that reconciles to source
Framework-mapped engine operational
Proof, not claims

See the numbers for yourself.

Every figure on this page traces back to a real run — the Suria validation chart above (R² = 0.9111, MAE = 51.21 W/m² on held-out data) is drawn directly from it. Below is an illustrative mockup of a Lestari report — built to show structure and format, not a real client output. Real samples are available on request under NDA.

Illustrative example — not a real client report
Meridian Manufacturing Sdn Bhd
Irradiance-Linked Emissions Avoidance · Q3 FY2025 · Generated by Lestari
GHG ProtocolGRIISSB
Forecast solar generation
184.6 MWh
Q3 forecast · Suria hour-ahead model, Klang Valley site
Avoided grid emissions
128.1 tCO₂e
Calculated at Malaysia's grid factor, 0.694 kgCO2e/kWh
Site irradiance
4.9 kWh/m²/day
Q3 average · NASA POWER, ground-sensor calibrated
Avoided-emissions figure derived directly from Suria's own generation forecast — not a separate estimate
Continuous update — not a once-a-year compilation exercise

Want the full picture in one document?

A one-page technical brief covering both research streams, methodology, and current status — built for sharing internally or attaching to a proposal.

Download technical brief
From the same research

A related product.

MENTARI PRIMA is a standalone product from 3 Orbit Solutions, sharing underlying technology with Lestari, Tenaga's own solar-ESG research.

Sister product · 3 Orbit Solutions

MENTARI PRIMA

Bursa ESG compliance analysis — gap identification and report generation for Main Market listed issuers.

100%
Disclosure category coverage
13/13
Mandatory disclosures
7-day
Turnaround
View MENTARI PRIMA
Built by

A small in-house engineering team, not a subcontracted shell.

Tenaga is built and run entirely by 3 Orbit Solutions' own in-house team — spanning software engineering, cloud infrastructure, data analytics, and applied ML. Every model, pipeline and report shown here is built and maintained in-house, not subcontracted.

Latest from the lab

Research, as it happens.

A running log of progress across Suria and Lestari — updated as results land, not on a fixed schedule.

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Our approach

Two projects, one record.

Suria forecasts the energy. Lestari accounts for its impact. We build them to share a single source of numbers — so what we predict and what we report never tell two different stories.

Suria

Predict the resource

We treat solar irradiance as a signal to be forecast, not assumed. Sky, satellite and sensor data drive hour-ahead and day-ahead generation forecasts you can plan around.

Lestari

Account for the impact

Emissions and ESG figures are pulled straight from operational data into audit-ready disclosures — continuous, source-traceable, and built to reconcile rather than estimate.

One vision

Reconcile to one record

Forecast generation, real output and disclosed impact resolve to the same numbers — keeping prediction and reporting two halves of one system, not two disconnected tools.

Let's talk

Measure what matters.

Whether you're forecasting solar yield or building ESG disclosure you can stand behind, we'd like to hear what you're working on.