The BentoNet from the BK Badische Kraftwerk will fundamentally change the EU energy market, in which we: "Utilise the opportunities of digitalisation and decentralised energy production with a secure, independent energy data platform that enables the systematic integration of own power generation and consumption into energy markets in an economical, environmentally friendly and secure manner.
BentoNet offers operators and manufacturers previously unknown value-added and application possibilities for energy systems. With our BentoNet, operation becomes fully automated and thus easier and more economical. Through APPs, problems in operation, energy sales and procurement can be solved.
The Bayerisches Zentrum für Angewandte Energieforschung e.V., or ZAE Bayern for short, is a non-university research institute with approx. 180 employees, which is institutionally supported by the Bavarian State Ministry of Economic Affairs, Regional Development and Energy. ZAE Bayern has two main locations in Garching near Munich and Würzburg and three branch offices in Hof, Arzberg and Nuremberg. ZAE Bayern has now been in existence as a registered association based in Würzburg for over 25 years. In December 1991, the founding members set themselves the goal of promoting energy research and providing training, further education, advice, information and documentation in all areas of significance for energy technology and the sciences concerned with it. To date, ZAE Bayern has developed into a nationally and internationally recognised research institute.
In its central areas of expertise - renewable energies, energy storage and energy efficiency - ZAE Bayern uses an interdisciplinary research approach to combine materials research, component development and system optimisation to create a seamless value chain. Researchers at ZAE Bayern work at the interface between basic research and applied industrial research and are involved in areas such as nano-materials, thermal and electrochemical energy storage, energy-efficient processes, photovoltaics, energy-optimised buildings and urban districts, smart grids and cross-sector energy systems (electricity and heat/cooling).
Neighborhood grid intelligence for Zero Emission Neighborhoods (ZEN).
Eneida DeepGrid® is an Operational Analytics Applications platform for the real time, detailed, visibility, optimization and control of the Low Voltage network.
For a more affordable, reliable and sustainable neighborhood grid.
The eneida DeepGrid® platform enables Distribution System Operators and New Energy Players to gain grid visibility at scale, at a higher granularity, and a finer level of control and optimization of the Low Voltage network, through distributed AI systems, allowing the Energy Players to dramatically improve the penetration of DERs, and their customer service, energy efficiency and investment levels.
For several years now, the topics Industry 4.0 and digitisation are an important part in teaching and research at Aalen University. Existing competencies are being continuously expanded, e.g. through new courses and research priorities. Examples of this are the graduate programme PROMISE 4.0, which in cooperation with the University of Stuttgart promotes research into intelligent production systems and methods in the context of Industry 4.0 for small and medium-sized companies, or the "Internet of Things" course, which is a cooperation project between the universities of Aalen and Schwäbisch Gmünd and is concerned with the design of digitisation.
In order to ensure that the broad range of courses and the wide range of necessary skills applied beyond the academic scope, the Industry 4.0 Centre has been created as a central institution, to which the BW Industry 4.0 transfer platform is affiliated. As a "marketplace of competences", the Industry 4.0 Centre has the task of bundling knowledge, experience and offers from the university and making them visible to the outside world – facilitating industry cooperations with regional companies.
INESC TEC is a private non-profit institution having as associates the University of Porto, INESC and the Polytechnic Institute of Porto. The activity is conducted by 715 researchers (273 hold a PhD degree). Under INESC TEC, the Centre for Power and Energy Systems (CPES) is the main actor in the energy domain. It is internationally recognised for its expertise in problems relating to the integration of renewable energy in power systems, demand response and smart grids. The high level of expertise developed has allowed specialists at CPES to take on key roles in important International projects that led to notable scientific and technical advances with considerable impact on industry.
OFFIS, founded in 1991, is an internationally operating, application-oriented research institute for information technology. With its 300 employees, OFFIS does research and prototype development at highest level. OFFIS cooperates with well over 700 research and industry partners.
The R&D department energy researches ICT-based concepts and prototype systems for a resilient energy supply. It also focuses on the social and economic challenges of tomorrow's energy networks, specifically regarding AI-based solutions. We research reliable and resilience performance of machine learning, distributed AI and self-learning systems in the face of evermore complex infrastructures, their analysis and fully self-adaptive learning of resilient operation strategies.
In a world where data is growing exponentially, business value is often hard to identify due to its complex nature or sheer volume.
OmegalambdaTec provides state-of-the-art data science services and develops tailor-made smart data business applications. Our team of top astrophysicists combines unique model-based physical analytics with ML/DL/AI techniques to achieve optimal and transparent customised solutions. We provide end-to-end service from consulting to implementation, translating data science into business application.
PlanB. GmbH, headquartered in Hüttlingen, Germany, sees itself as a co-innovation partner for our clients in the area of digitization and digital transformation. PlanB.’s ambition to make everyone’s life and workplace safer, more productive and more valuable. Its mission is to create outstanding digital products that excite and inspire our users and bring them even closer to their goals. Together with our clients, PlanB. develops highest-quality digital solutions in the areas of Industry 4.0/IoT, Artificial Intelligence as well as innovative workflows in their Digital Product Factory. The Digital Product Factory combines proven engineering processes, agile methodologies and sustainable ready-to-use modules for a fast "time-to-market" of digital products. PlanB.'s focus is always on the customer and the optimization of their added value.
As a manufacturer of measuring and testing technology, we offer professional products for trade, service and industry. Our strength is to recognise customer needs and to implement through customised complete solutions.
Through cooperation with companies we want to grow further and according to our motto: More safety with safety test...for electrical safety.
Semantic PDM provides a toolbox for building graph-based data management platforms for different domains. Existing modules for PDM (product data management), PIM (product information management), MDM (master data management) and the management of Documents, Media data and terminology can be combined to create demand specific solutions.
Storing the data in a graph database (neo4) allows a high level of flexibility and performance. Schemas for highly connected data can be configured and refined at any time.
Based on a framework of widgets, it is quite simple to configure or implement additional micro applications ("low coding") for a role specific access to graph data.
Watt-IS is a data analytics company focused on applying large-scale Artificial Intelligence (AI) and machine learning methods on top of smart metering data to generate the most value, not only for end consumers, but also for retailers & DSO’s by reducing churn rates and delivering new revenue streams.
By applying advanced self-learning algorithms in a Software as a Service (SaaS) approach, coupled with white-label data visualisation platforms, we aim to actively promote energy efficiency, increase the penetration of renewable sources while contributing towards the creation of flexibility markets and Renewable Energy Communities.