Energy Forecasting AI

Leveraging AI to improve your Energy Efficiency


Inaccurate Energy Forecast

Inaccurate forecasts of annual energy demand cause:

  • Disruptions in the functioning of healthcare facilities
  • Downtime due to unplanned power outages
  • Demand and supply mismatches
  • Wastage of energy


Forecasting energy consumption

Zasti uses artificial neural networks to forecast energy consumption to help inform power supply and demand. The model processes past behavior and environmental conditions data sources such as real time data from the following sources:

Electricity meters


Weather data

Simulated data of HVAC systems


Benchmarking data from publicly available datasets



Predicts short term and long term consumption of energy


Aggregates, analyzes and visually represents data with the capacity for operators to control, monitor and report emissions

Energy Management

Assists healthcare organizations with energy management and reduces their carbon footprint

Cost Saving

Translate energy savings into cost

Clean Energy

Allows hospitals to obtain access to renewable or cleaner fossil fuel-generated sources of electricity

Climate Tech AI Solutions

With over 10 Billion Healthcare transactions, Zasti offers a broader range of solutions for your particular needs.

Make this data and AI provide value for you

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