![]() ![]() With increasing computer power, chatbot systems can access ever more extensive data sets more quickly and therefore provide intelligent dialogs for the user. A chatbot is a text-based dialog system that allows chatting with a technical system. ![]() It is precisely these frequently asked questions that can be handled automatically by so-called chatbots. Customers want their questions answered quickly - which in fact include recurring standard information in over 90 percent of cases. ![]() Hello chatbot: AI in customer communicationĭigital customer communication across all channels and at all times - this demand on energy supply companies can also be met with the support of Artificial Intelligence and machine learning. The service independently learns the typical behavior of the data series, identifies unusual behavior and alerts critical situations at an early stage - the integrated forecasts are used for further planning. If the value turns out to be lower or higher than expected, the network operator can react according to demand. The anomalies detected in the network are thus no longer based on previously defined threshold values, but on variable environmental parameters. This also includes general correlations to the outside temperature or the weather. The expected behavior can then be mapped in fine granularity based on the various influencing variables. For example, the network load can be very low on Sunday nights, while peak values occur during the morning and evening hours on weekdays.īased on the data collected - for example, through smart metering - the grid operator can then investigate and systematize behavioral patterns, while at the same time creating load profiles, such as industrial or residential profiles that take into account photovoltaic generation systems, for example. This is based on time series measurement, which enables a distinction to be made between type days such as weekdays, weekends or hours and minutes. This is because AI automatically identifies when which utilization is to be expected. Using AI processes, this monitoring is now much more sensitive and flexible: network operators can resolve the fixed threshold values as far as possible. This means that state-specific deviations often do not trigger an alarm. If the company wants to permanently monitor an aspect of the network, such as the load flow, it must define fixed threshold values for this purpose that cover a large number of normal states as a whole. This means that the systems monitor whether the target variables under consideration are within a predefined range of values. Until now, many network operators have often relied on systems that operate according to fixed threshold criteria for network monitoring. The software "learns" independently and continues to develop autonomously. ![]() Machine learning means that IT systems use algorithms to recognize patterns in data sets and can use the insights gained for new questions and solution strategies. An important subdiscipline of AI is used here, machine learning (ML). Network operators, for example, can take advantage of further developments in the field of Artificial Intelligence: On the basis of AI, they can forecast exactly how busy their network will be. The use of AI is worthwhile, for example, for the mapping of customer inquiries and tickets, in predictive maintenance or in the field of smart meter services. In the energy industry in particular, Artificial Intelligence can be used at many points along the value chain. ![]()
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