Golden reports

The Golden Report is myCoreAI's recurring performance report for buildings under AI control. It shows what the building used, what myCoreAI influenced, what was saved, and how indoor climate held up. New reports are generated monthly.

Use this page for the concepts shared across all energy sources. Use the sub-pages for source-specific heuristics, assumptions, and fallback values.

What the report covers

For each building, the Golden Report breaks energy use into:

• District heating
• District cooling
• Electricity

For each energy source, the report shows:

• Total consumption during the period.
• myCoreAI-controlled share during the period.
• Savings at uptime and potential savings.

The report also includes:

• Energy efficiency metrics.
• Indoor climate compliance for temperature and CO₂.

Shared concepts across all energy pages

These concepts mean the same thing in heating, cooling, and electricity.

Uptime

Uptime is the share of the period when myCoreAI actively controlled the relevant systems.

Low uptime lowers two things:

• The myCoreAI-controlled share
• The savings at uptime

myCoreAI-controlled share

This is the part of the energy source myCoreAI could influence.

It is calculated as the relevant HVAC energy use, weighted by uptime.

Baseline

The baseline is the estimate of how the building would have operated without myCoreAI.

It is based on the building's historical control logic. That usually means supply curves, setpoints, and similar pre-AI behavior.

Efficiency

Efficiency measures how myCoreAI performed against the baseline over the same controlled hours.

It is calculated at component level, then aggregated for the reporting period.

Savings at uptime

Savings at uptime is the energy avoided during the hours myCoreAI was in control.

It is the difference between estimated baseline use and actual use over those same hours.

Potential savings

Potential savings is the full-period version of savings at uptime.

It scales the realized savings to 100% uptime. Use it to judge the upside from better uptime.

Auxiliary consumption

Auxiliary consumption is energy use outside the heating, cooling, and ventilation loads myCoreAI controls.

It is shown separately so controlled and non-controlled energy do not get mixed together.

Indoor climate compliance

Indoor climate compliance shows how often the building stayed within its configured comfort bounds.

Read it next to savings. Lower energy use should not come at the cost of comfort.

Energy-source pages

The energy pages focus on heuristics, assumptions, and source-specific calculation details:

• Heating — district-heating splits, tap-water estimate, and component assumptions.
• Cooling — district-cooling splits, Other estimate, and component assumptions.
• Electricity — ventilation-electricity split and scope limits.

Portfolio reports

Portfolio reports add a layer above the per-building view:

• Aggregated energy use across buildings.
• Portfolio-level efficiency metrics.
• Cross-building comparisons.

AI insights

Each building also gets AI-generated insights.

These point to performance patterns and remaining opportunities. They support the numbers. They do not replace them.

How to read your report

Start with uptime. Low uptime explains low realized savings fast.

Then compare savings at uptime with potential savings. The gap shows the value left on the table.

Read indoor climate beside savings. Comfort still matters.

Then check the relevant energy page for the assumptions behind the number.

Improving accuracy

The biggest accuracy gains come from better inputs:

• Higher-resolution energy data
• Building-specific energy splits
• A real tap-water figure for district heating

Share these with your Myrspoven representative.