AI in the energy industry
AI provides innovation solutions for modernising the energy industry and responding to the challenges it faces.
Application areas – from energy generation to customer dialogue
Artificial intelligence (AI) offers the energy industry a wide range of new and improved solution options. Some of the most significant of these include:
Energy generation
AI can be used to optimise the operations of energy generation plants, such as coal, gas, and solar power stations. AI applications can analyse real-time data and adjust operations to meet demand in order to maximise efficiency.
Network management
AI can support the monitoring and controlling of power grids. It can use data from sensors and other sources in order to predict bottlenecks and interruptions and to react to them in good time. This helps to improve the stability of electrical grids.
Energy efficiency in buildings
AI can be used in building optimisation systems in order to optimise energy consumption in buildings. This includes controlling heating, ventilation and air conditioning (HVAC) systems, as well as lighting systems, in order to reduce energy consumption.
Renewable energies
AI can be used in conjunction with renewable energy sources, such as wind and solar energy, in order to increase forecast accuracy and energy efficiency. It can, for example, use weather data to provide accurate prognoses for energy generation.
Load management
AI can help to optimise energy distribution by predicting energy consumption and adjusting energy supplies accordingly. This can help to prevent bottlenecks and reduce energy costs.
Customer interaction
AI can be used in customer service chatbots and applications in order to assist customers with questions pertaining to their energy bills, costs, and energy efficiency.
Asset management and maintenance
AI can help to monitor the status of energy infrastructures such as power cables and transformers. It can analyse data to predict maintenance requirements, a capability which both reduces interruptions and prevents maintenance work from being performed too early.
Energy storage
AI can be used to optimise energy storage systems, such as batteries, in order to store energy at peak times and provide it when required.
Cyber security
AI can play a significant role in detecting cyber threats in energy infrastructures and increasing the power grid’s resistance to attacks.
inovex has spent over two decades building up a large team of proven experts on artificial intelligence. Our broad-based, deep knowledge enables us to implement solutions to even the most complex and demanding challenges.
Solutions implemented in the energy industry
sustainable measures, innovative solutions
PRAMAC Storage Systems: The energy transition as a driver of smarter storage
Together with PRAMAC Storage Systems, an energy management system has been created that networks, monitors and intelligently controls devices and systems for generating and storing energy independently of manufacturers and communication standards.
READ CASE STUDYKROHNE Messtechnik GmbH: An innovative IIoT platform for data analytics solutions
KROHNE has partnered with inovex to develop a platform which uses the Internet of Things to collect data from these measuring instruments and make it locally retrievable. The companies are also deploying state-of-the-art machine learning technology to automatically detect system errors and anomalies.
READ CASE STUDYBerg GmbH: Forecasting electricity consumption with the Efficio energy management solution
Rapid development of a prototype that forecasts the future expected consumption per measuring point or company unit on the basis of measured and calculated consumption values.
READ CASE STUDYYour partner: inovex
individual software developed to your requirements- Tailor-made solutions for your company
- Use of state-of-the-art technologies for high-performance and scalable software solutions
- Many years of expertise in software development and in-depth understanding of energy management
- A trustworthy partner to implement your individual energy management software
- Efficient implementation and continuous collaboration
- Focus on customer satisfaction and agile development processes
Lars Thomas
Account Manager – Stuttgart
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