Based on Machine Learning
Anomaly
Detection
Welcome to the registration page of the upcoming webinar of KONsys Kft.
Let's discover how the latest machine learning-based solutions help in the effective identification and management of various anomalies occurring in energy supply systems.
April 11
10:00 a.m
What the show is about:
We present how the latest machine learning-based solutions help in the effective identification and management of various anomalies and errors occurring in energy supply systems. We will learn how to predict energy consumption problems, minimize breakdowns and optimize operational efficiency by continuously analyzing the data.
Agenda
Duration: 60 minutes
1. Norbert Kovács: Introduction (5 minutes)
Welcome and greeting participants
A brief overview of the purpose and structure of the webinar
Brief introduction of the speakers and participants
2. Attila Baracskai: Anomalies occurring in energy supply systems (15 minutes)
The concept and importance of anomaly detection
Types and frequency of anomalies in energy supply systems
The impact and dangers of anomalies
3. Péter Forró: Operating principle of anomaly detection (10 minutes)
Data types and sources for analyzing anomalies in power supply systems
Basic methods and techniques for recognizing and detecting anomalies
4. Ádám Varga: Examples and practical approaches (15 minutes)
Presentation on a live system
Ways to detect anomalies
Methods of constructing anomaly models
5. Questions and answers (10 minutes)
6. Norbert Kovács: Conclusion and thanks (5 minutes)
Acknowledgment of participants and speakers
Mention of final thoughts and further actions
Our speakers
Attila Baracskai
KONsys Kft
Executive responsible for software development
Hot Peter
Moana Software
Software development engineer
Adam Varga
KONsys Kft
Software development and testing engineer