Patent ID: 11953870
Assignee: NANOOMENERGY CO., LTD.
Field: Electrical machinery, apparatus, energy (Electrical engineering)
Classification: CPC G  H | IPC G

Claim 2:
3. The machine-learning-based photovoltaic power generation control system according to claim 1, wherein the real-time control module comprises:
an interface unit configured to perform real-time data transmission and reception between the gateway unit and the real-time control module and between the real-time control module and the machine learning server;
a data analysis unit configured to receive the current, voltage, and electric power data measured by the photovoltaic module through the gateway unit and to sort, compare, and analyze the received data;
a control and determination unit configured to extract reference data necessary to control the photovoltaic modules using a result of processing of the data analysis unit and to determine a control command;
a control command processing unit configured to define control data in order to control the photovoltaic modules and to transmit the defined control data to the gateway unit in real time; and
a service management unit configured to perform a management function of adding or deleting a control function for controlling the photovoltaic modules in the real-time control module.