Tag: Anomaly Detection

Advanced Machine Learning Architectures for Grid Modernization: A Technical Analysis of Forecasting and Anomaly Detection Models

Posted on by uplatzblog

Part 1: State-of-the-Art in Energy Demand Forecasting 1.1. Foundational Models: From ARIMA to Recurrent Neural Networks (RNNs) The accurate prediction of electricity grid demand is a foundational requirement for efficient Read More …

Dynamic Graph Learning for Adaptive Fraud Detection: Architectures, Challenges, and Frontiers

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Executive Summary The detection of financial fraud has undergone a paradigm shift, moving from the analysis of isolated transactions to the holistic examination of complex, interconnected networks. Traditional machine learning Read More …