BAT is an autonomous data driven forecasting platform for energy and utilities. This platform will provide utility companies machine learning models which improve efficiency in energy distribution and usage. It also increases the efficiency of the power generation equipment by quickly discovering and addressing underperforming elements. Our machine learning models prevent failures before they occur thus increasing uptime and reducing maintenance time and costs.
BAT operates as a decision support system, that gives insights to a human operator, who makes the final decisions. In parallel to the forecasting and modeling process, BAT keeps track of the actual procurement of the energy on the market and the algorithm-suggested value. The platform simultaneously helps and learns from the operators about the optimal way of dealing with the maintenance issues. This is implemented by utilizing autonomous machine learning pipeline processing plurality of models tailored to the energy and utility industries. Whenever BAT detects unusual action implemented by the operator, it records it to make further analysis and possibly extract knowledge to be integrated in the platform.
The main advantages that BAT introduces are:
● Optimization over integrated demand-supply model
● Prevention of critical production downtime
● Reduction of the operating cost
● Integration of multiple data sources
● Automated reporting per customer or group of customers
The main advantages that BAT introduces are:
Optimization over integrated demand-supply model
Distributed renewable energy generation increases the complexity of the grid balancing. BAT increases model quality and reduces modelling time and effort. These models help utility operators to forecast energy consumption and production and successfully balance the grid.
Prevention of critical production downtime
Shutting down machinery even for scheduled maintenance has a critical impact on your operation. Using BAT you are acting before equipment anomalies occur and thus, you can predict and optimize maintenance and prevent critical production downtime.
Increasement of product quality and reduction of the operating cost
By analyzing a huge amount of machine data from multiple data sources, you can discover production faults, monitor product quality, anticipate events, and react in real time to reduce production and operating costs.
Integration of multiple data sources
Quickly set-up pipeline and process real-time streaming data to identify the important events you need to improve operations and avoid slow-downs and failures of your smart equipment.
Automated reporting per customer or group of customers
Detailed analytics report for the behaviour and predictability of the selected customer (or group of customers). Design of electricity price models per type of customer.
Laser Consult Technical, Scientific and Economic Consulting Kft. (Ltd.) was established in 1992 with the objective of accompanying its clients from the innovational idea all the way to selling the intellectual product by providing complex innovational services.
Our mission, through our services, is to promote the utilisation of intellectual products, create a business value from innovative solutions, promote the co-operation of places of research and enterprises and the development of Hungarian higher education through the professional support of innovational activities. The foundation of the successful operation of the company is our fundamental philosophy, in which we lay a significant emphasis on establishing a relationship of confidence and developing a long-term successful co-operation with our clients.
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