How can I use consumption data to reduce electricity and heating costs?

Your Analytics Energy dashboard shows consumption patterns that reveal specific reduction opportunities. Here's what to look for:

Open Analytics → Energy, select your building, and set the time range to the past 12 months.

Electricity reduction — look for these patterns

• Flat base-load across nights and weekends: This means equipment is running when the building is empty. Common culprits: HVAC systems not on schedules, server rooms without efficiency modes, lighting without occupancy sensors. Even a 10% reduction in base-load can save thousands annually.
• Summer spikes without cooling meters: If electricity jumps June–August but you have no cooling meter, your cooling is likely running on the electrical system. Check chiller efficiency (COP) — older units may need replacement.
• Gradual upward trend over 12+ months: Could indicate degrading equipment, refrigerant leaks in heat pumps, or new loads added without your knowledge.

Heating reduction — look for these patterns

• Much higher kWh/m² than similar buildings: Compare using the Portfolio Report. If your building is above 200 kWh/m² for heating alone, investigate insulation, window seals, and ventilation heat recovery.
• Heating active in April–September: Check your heating schedule cutoff dates. Many buildings waste energy by heating into late spring.
• Sharp spikes on cold days: This is normal to some degree, but extreme spikes may indicate failed heat recovery in ventilation or thermostat setpoints that are too high.

Use the Insights tab for automated anomaly detection — it flags unusual consumption changes.

Ask me: "Show me energy data for [building name] in January 2025" to quickly pull consumption numbers.

⚠️ This is general guidance only. Always consult qualified professionals (engineers, energy auditors, HVAC technicians) before making changes to building systems.