AI4Energy Project: Revolutionizing Energy Management with Artificial Intelligence
Project Highlights:
The AI4Energy project will achieve groundbreaking results that will reshape the landscape of energy consumption prediction and active energy management. Leveraging cutting-edge artificial intelligence technologies hosted in the cloud, the project will focus on tailoring energy solutions for end consumers, consumer groups, and digitized factories. Here’s a closer look at the key outcomes:
1. Cloud-Based AI for Consumption Prediction:
– AI-driven predictive algorithms hosted in the cloud will enable precise consumption forecasts.
– These forecasts will be finely attuned to external influencing factors such as temperature, industrial orders, and planned vacations.
2. Innovative Product Development:
– A novel product, the “Intelligent Mobile House,” will be designed for seamless integration with consumer groups.
– This intelligent mobile home will serve as a hub for energy management and efficient consumption.
3. Smart Destinations for Sustainable Living:
– The project will introduce a comprehensive solution encompassing AI, intelligent mobile homes, solar power plants, and energy storage.
– These components will combine to create self-sustaining and eco-friendly living environments.
4. Cutting-Edge Device Control and Management:
– A modular system for local or remote device control and energy management within mobile homes will be developed.
– The system will incorporate IoT technology, mobile applications, and a robust backend infrastructure.
5. Industrial Digitization and Digital Twins:
– Partnered with industrial leaders, the project will advance the digitization of production processes.
– The creation of digital twins and IoT-powered simulations will enhance production efficiency.
6. Streamlined Supply Chain Digitization:
– Transition to paperless operations within the supply chain will occur.
– Integration of digital twins will optimize production and logistics, ensuring seamless connectivity.
7. Product Lifecycle Tracking:
– Products will be tracked from production to end consumers.
– Built-in sensors will provide real-time insights throughout the product’s entire lifespan.
Main Project Objectives:
1. Precise Energy Consumption Prediction:
– Develop AI algorithms to profile consumers’ energy consumption patterns.
– Analyze dependencies on external factors like temperature, industrial demands, and vacations.
– Implement automated data collection from various IoT sources, such as smart grids and meters.
2. Big Data Handling:
– Manage and process vast amounts of data (tens of millions of data points annually) with advanced AI techniques.
– Utilize AI to predict future energy consumption patterns, ensuring efficient resource allocation.
3. Intelligent Mobile Homes:
– Create intelligent mobile homes capable of seamless integration into consumer groups.
– Integrate photovoltaics and energy storage systems for self-sufficiency.
– Develop comprehensive energy management solutions, including charging stations.
4. Digital Transformation of Production:
– Digitize production processes at partner companies (Adria Dom, IMP Armature, Magles).
– Establish intelligent factories to optimize manufacturing operations.
5. Cloud-Based Integration:
– Implement cloud-based solutions connecting AI to smart destinations.
– Establish the Adria e-Village as a demonstration environment to showcase intelligent mobile homes, photovoltaic integration, and active energy management via AI.
The AI4Energy project represents a significant leap forward in harnessing artificial intelligence and digital technologies to revolutionize energy management, production processes, and sustainable living. Its holistic approach promises to reshape the future of energy consumption and production efficiency.
