Baseline: A predictive model of energy consumption.
Energy baseline with highly accurate energy consumption models generated with AI, multiple variables, and even multiple baselines for different operational scenarios that adjust automatically.
A precise and dynamic baseline of energy use.
Energy baseline by area, facility, processes, equipment, and dynamically distinguishing between different products or raw materials automatically.
Includes all aspects that influence energy consumption.
Starting from a defined set of data, EMMA also identifies which operational variables significantly influence energy consumption and which are not relevant, creating representative models that ensure effective monitoring and more accurate recommendations.
Multiple energy sources
Baseline based on a single or multiple energy sources for a more holistic view of the operation.
Operational variables
The baseline includes operational and even weather data, depending on the process or type of industry, to generate a model that matches each company's reality.
Accurate models
EMMA’s models achieve over 99% accuracy, thanks to machine learning algorithms that can interpret large volumes of information.
Seasonality and variations
Integrates seasonality or state variations, such as changes in raw materials, to keep the most representative models active at all times.
