AI Assistants
AI assistant for Energy AI
Cut your energy costs by up to 25% with AI assistant for Energy AI
ERP-system capabilities to boost your workflow
Energy accounting, energy planning, forecast efficiency, AI forecasting
Online monitoring to detect short-term loads and log inefficient equipment operating modes
Calculation of energy consumption per product unit, energy efficiency standardization, and calculation of energy consumption baselines
Planning and optimizing the operation of the company’s own generating facilities. Selecting the optimal operating time for the biggest energy consumers
Optimization of consumption distribution by type of resource and modes of energy storage.
Efficient balancing of consumption and work with different types of energy resources
The energy management system helps to:
forecast generation and consumption
adjust generation/consumption based on AI predictive models
optimize the cost of energy procurement/production
reduce CO2 emissions and waste
The consumption plan model built by EnergyAI is 20% more accurate in reflecting actual energy consumption compared to the consumption plan created manually by a specialist
EnergyAI for businesses features:
consumption patterns management
detection of non-typical energy consumption
event notifications
accounting for energy consumption
work with all types of energy resources
collecting data for planning energy-saving actions
The smart system for forecasting and reducing energy consumption monitors energy efficiency online. It detects short-term loads and logs inefficient equipment operating modes.
Capabilities of the EnergyAI energy management system from IT-Enterprise:
- Big data processing according to the principle: more meters, higher frequency of data collection and greater efficiency
Logging even short-term inefficiencies and specific patterns of a particular energy consumer, such as idling or going off schedule
- Reporting inefficiencies using ML/AI methods
Logging less obvious inefficiencies: efficiency drops, anomalies, and peaks
- Energy consumption forecasting using ML/AI methods
Energy consumption forecasting is 20% more accurate and less time-consuming than manual forecasting
EnergyAI relies on machine learning (ML) and artificial intelligence (AI) methods that factor in weather forecasts, electricity prices, production plans, and the loading of major energy consumers.
ERP-system
advantages
Artificial intelligence takes into account weather forecasts, electricity prices, production and load plans of major energy consumers
Up to 50% improvement in forecast quality compared to human forecasts
2% percentage of plan/actual deviation in the forecast
The EnergyAI energy management system helps to reduce energy costs by up to 25%.
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How the implementation takes place
Cases
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