Energy Forecasting AI

Leveraging AI to improve your Energy Efficiency

Challenge

Inaccurate Energy Forecast

Inaccurate forecasts of annual energy demand results in:

  • Disruption in the functioning of a healthcare facility
  • Downtime due to unplanned power outages
  • Demand and supply mismatch
  • Wastage of energy

Solution

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

Electricity meters

BAS

Weather data

Simulated data of HVAC systems

Cloud

Benchmarking data from publicly available datasets

Advantages

Forecasting

Predicts short term and long term consumption of energy

Dashboard

Aggregates, analyzes and presents in a meaningful manner to the operator with visualization, alarms, control, monitoring, and reporting

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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