Peak Shaving
Peak load balancing is an innovative solution for companies to avoid expensive power peaks. Thanks to machine learning, we can identify the energy curve in advance and balance it with the help of energy storage. More than 75 % of the energy costs in energy-intensive companies are due to peak loads. That is why we place the greatest focus on this in our energy concept.
Self-consumption optimization
The important optimization of self-consumption helps companies to reduce their energy costs while reducing their CO2 emissions. We store excess energy from renewable energy sources and control energy flows in real time to ensure optimal energy supply. Our solution is flexible and adaptable and offers companies a tailor-made energy supply of the future.
Intelligent electricity trading
Our intelligent electricity trading is a sophisticated solution for making optimal use of renewable energy sources and generating high yields. We combine PV systems and battery storage, for example to meet electricity needs and trade excess energy on the market. Our AI-supported software works highly efficiently and achieves effective results.
Measurement in real time
The sensors visualize and an AI analyzes all energy data of relevant consumers in real time. We create maximum transparency of the energy flows and can thus implement appropriate measures for energy efficiency. Using an award-winning and patented process, the energy history can be identified several days in advance. Our system goes far beyond monitoring.
Process independent
The energy concept offers companies a simple and cost-effective way of saving energy costs and reducing their CO2 emissions at the same time. The special thing about it is that all processes in the company remain unaffected and no changes are required. We optimize the energy supply by using renewable energies and an intelligent energy management system to ensure a sustainable and future-proof energy supply.
AI driven software
An energy management software, equipped with the latest future technology to reduce energy costs and make the energy supply more efficient. We rely on digitization and artificial intelligence to ensure a tailor-made energy supply. Our machine learning algorithms are developed in-house and tailored to the individual needs of each company. We have received several awards for our process.
