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Automation of software development process has been a concern for a long time. Genetic programming is a well-known technique which uses evolutionary computation to generate or improve a computer program for a specific task without human participation. We consider the method which applies model checking and evolutionary computation towards the automatic generation of function block control applications...
This study presents a design of a distributed architecture and an application for automated demand response, in which one electricity aggregator cooperates with a group of consumers. The distributed architecture utilizes an asynchronous message oriented middleware to integrate the defined components. The application adopts a distributed demand response optimization algorithm for the validation of...
The paper addresses the problem of reverse engineering a function block (FB) in situations when its source code is either not available or is too complex to understand. The proposed approach builds up on a recent method for reconstructing FBs based on testing and a search-based optimization algorithm. In our work the method is augmented with candidate solution verification using the NuSMV model checker...
This paper presents a cost optimization scheme for an electricity aggregator. The aggregator schedules the charging of the energy storages of its aggregated group of consumers to minimize the hourly spot market costs, while simultaneously maximizing its potential for participation in the reserve market. The optimization is formulated as a distributed iterative algorithm and its performance on the...
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