The market for green energy, and therefore, for reducing gas and oil consumption, is growing very rapidly. Energy management based on sensors, automation, smart homes, and AI is already available on the market. These solutions can track energy consumption in real-time, identify areas of inefficiency, and implement strategies to reduce energy consumption and costs as well as carbon footprint. Greenautarky is your number one Edge AI solution to manage gas and oil heaters energy in private and commercial buildings, companies, industrial facilities, public buildings.
Data is stored in the cloud. Internet is necessary. Cloud storage may raise data privacy problems and internet connection may fail.
Use of energy management solutions is generally complex and it is not user-friendly. AI energy management solutions are expensive.
Due to climate changes, existing empirical data is no longer up to date. In addition, exact data on specific customer investments is lacking.
The lack of qualified staff, inaccurate data, price, and privacy compliance with GDPR make it difficult for users to choose the best solution.
Our Edge AI energy management solution aims at reducing your energy usage, and consequently, reducing your energy costs by up to 30%, and reducing your carbon footprint. Our Edge AI energy management solution respects and guarantees data privacy to all our partners, collaborators and clients for it is in compliance with GDPR. All this, by improving people's health and contributing to the environment, by being a leader in value creation, innovation, and sustainability.
IoT sensors provide real-time data on energy usage, allowing for immediate detection of any inefficiencies or anomalies.
By bringing together IoT sensors and building management systems, energy usage can be automatically adjusted.
IoT sensors offer accurate measurements of energy use, leading to optimization and informed decision-making.
The data collected by IoT sensors identify patterns and potential areas for improvement, leading to better energy management strategies.
The solution serves as an advanced control of the buttons on the wall, which we use today to set the temperature of the heating. By connecting the Edge AI Box to the push-buttons, the AI takes over the optimal control of the push-button based on distributed sensors and the Edge AI learns over time and optimizes consumption.
Predictive maintenance optimizes energy equipment performance and extends their lifespan.
Real-time data analysis helps identify potential equipment failures before they cause major disruptions.
Predictive maintenance reduces downtime, increasing overall efficiency and productivity.
Predictive maintenance has sustainability benefits, because assets cost less to run over their lifetime.
Greenautarky AI-Edge energy management solution will be fully supported by an app that allows the user to monitor and manage the energy of the building in an effective and efficient way. Furthermore, our app is user-friendly and intuitive so everyone can easily use it.
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