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AI USE CASE

Energy consumption forecasting & optimisation

Forecast energy demand and shift loads to cut bills and emissions.

Minimum data maturity
intermediate
Technical prerequisite
data engineer
Industries
Manufacturing, Hospitality, public_sector, Retail & E-commerce, construction
AI type
forecasting

What it is

A forecasting model combined with optimisation predicts hourly site-level energy demand and recommends when to run heavy loads, charge batteries or buy from spot markets.

Data you need

Smart-meter data at 15-min granularity for 12+ months.

Required systems

  • data warehouse

Why it works

  • Close the loop with BMS/EMS controls
  • Re-baseline after every major HVAC change

How this goes wrong

  • Recommendations not connected to actual control systems
  • Forecast drift after equipment changes

Example vendors

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