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Тоҷикӣ
КыргызчаAI for District Heating Load Forecasting & Network Balancing
Forecast loads and balance district heating networks with AI to cut losses, improve comfort, and lower emissions.
District heating faces variable demand, weather impacts, and network imbalance. AI predicts loads, tunes supply temperatures/flows, and balances substations to reduce losses and complaints.
Valve setpoint tuning and hydraulic balancing.
Pumping optimization to cut energy use.
Leak detection from temp/pressure anomalies.
Tickets/complaints, maintenance logs, outages.
SCADA and meter streams with QA/QC.
Weather feeds and occupancy/building data.
Frequently asked questions
What types of APIs are available for integrating with Building Management Systems (BMS) or Supervisory Control and Data Acquisition (SCADA) systems?
APIs to BMS/SCADA for advisory or closed-loop.
What kind of reports does mysimulator.uk generate regarding energy losses, comfort levels, and overall energy consumption?
Reports on losses, comfort, and energy use.
How can I integrate SCADA data, smart meters, and weather information within the mysimulator.uk platform?
The platform allows you to integrate SCADA data, smart meter readings, and weather forecasts to create a comprehensive simulation environment that considers baseline loads and temperature differentials.
Can I deploy forecast-based balancing recommendations in an advisory mode for my simulations?
Yes, mysimulator.uk enables the deployment of forecasting and balancing recommendations within an advisory setting, allowing you to assess their potential impact without automatically implementing them.
▶ Try it live
Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.