Knowledge Discovery in the SCADA Databases Used for the Municipal Power Supply System
Valery Kamaev, Alexey Finogeev, Anton Finogeev, Sergey Shevchenko

TL;DR
This paper presents a novel approach combining geospatial analysis and Knowledge Discovery in Databases (KDD) to enhance decision support systems for municipal power supply management, focusing on energy efficiency and system optimization.
Contribution
It introduces a new integrated framework utilizing wireless sensor networks and advanced data analysis tools for improved control and decision-making in municipal power systems.
Findings
Enhanced energy efficiency through optimized control strategies.
Successful implementation of wireless heterogeneous data acquisition.
Improved decision support with geospatial and KDD technologies.
Abstract
This scientific paper delves into the problems related to the develop-ment of intellectual data analysis system that could support decision making to manage municipal power supply services. The management problems of mu-nicipal power supply system have been specified taking into consideration modern tendencies shown by new technologies that allow for an increase in the energy efficiency. The analysis findings of the system problems related to the integrated computer-aided control of the power supply for the city have been given. The consideration was given to the hierarchy-level management decom-position model. The objective task targeted at an increase in the energy effi-ciency to minimize expenditures and energy losses during the generation and transportation of energy carriers to the Consumer, the optimization of power consumption at the prescribed level of the reliability of…
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Taxonomy
TopicsEconomic and Technological Systems Analysis · Advanced Research in Systems and Signal Processing · Advanced Data Processing Techniques
