Energy Forecasting AI
Leveraging AI to improve your Energy Efficiency
Challenge
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
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 the following sources:
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 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
Carbon Calculators
Zasti uses AI for the Co2 emissions calculator to identify the carbon footprint of the client adhering to EPA, IPCC, GHG Protocol methodologies, and more
Predictive Maintenance of Boilers
Facility management for client’s (hospitals) which had trouble meeting the required response times and over consumption of energy, causing large penalties
Energy Management using AI
Creating a comprehensive energy portfolio, including bulk supply; renewables (on-site and off-site); environmental attributes; demand and supply management; and carbon reduction programs is complicated
Predictive Maintenance and Facility Management
Utilize AI to improve efficiency for facility management: This reduces the response time for impending breakdowns and also minimizes penalties for over consumption of energy
Smart Meters
AI for understanding water/energy consumption needs, nature (domestic, public, commercial, and industrial use) of water/energy demand and water usage patterns
AI for Energy Forecasting
Inaccurate forecasts of annual energy demand results in wastage of energy, supply and demand mismatch, downtime due to unplanned power outages, and overall disruption of a facility
