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

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 …

The Digital Backbone of the Grid: An In-Depth Analysis of Vehicle-to-Grid Orchestration Platforms

Executive Summary Vehicle-to-Grid (V2G) orchestration platforms represent a pivotal technology in the convergence of the transportation and energy sectors, transforming the latent energy storage capacity of millions of electric vehicles Read More …