首页|Tomsk State University of Control Systems and Radioelectronics Researcher Update s Current Study Findings on Machine Learning (Using machine learning for the opt imisation of operations and management in electric systems and networks)
Tomsk State University of Control Systems and Radioelectronics Researcher Update s Current Study Findings on Machine Learning (Using machine learning for the opt imisation of operations and management in electric systems and networks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Tomsk State Universi ty of Control Systems and Radioelectronics by NewsRx editors, the research state d, “This research employs the Random Forest Machine Learning model to predict el ectricity consumption and detect anomalies in electrical networks. Addressing th e energy sector’s challenges, such as supply reliability and renewable energy in tegration, this model processes historical electricity consumption data, weather conditions, and network events to efficiently forecast demand and identify anom alies.”
Tomsk State University of Control System s and RadioelectronicsCyborgsEmerging TechnologiesMachine Learning
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