HydroGraphNet boosts watershed predictions of daily flow and nitrogen in sparse data regions

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...

Machine learning detects more than 60,000 earthquakes during 2025 Santorini sequence

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
IEEE

Forecasting Carbon Emissions in Power Systems Using Autoformer and LSTM: A Case Study of the Spanish Electricity Market

Abstract: Recent advancements in carbon emission prediction modeling have significantly improved the accuracy of forecasting emission intensity, particularly through the application of artificial ...
GitHub

keerthi-kamineni/25-days-MATLAB-Power-Systems

This repository contains my 25day learning journey exploring core concepts of Electrical Power Systems using MATLAB. The goal of this project was to move from basic concepts to advanced visualization ...
IEEE

Secure Energy Management for Ship Power Systems Using Federated Learning

Abstract: This paper presents a Federated Learning (FL) based Energy Management System (EMS) for Ship Power Systems (SPS). The proposed method addresses the challenges of maintaining a stable power ...