Power Technology

Redefining load forecasting and management: how AI is making smart grids smarter

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
IEEE

Self-Supervised Koopman Operator Learning for Distributed Final Synchronization Prediction of Networked Nonlinear Dynamics

Abstract: A hybrid Koopman deep learning algorithm is developed to predict the final synchronization of networked nonlinear dynamics with different topologies merely using neighboring state ...
GitHub

Centrum-IntelliPhysics/local-neural-operator-time-stepper-instead-of-just-time-stepper

This repository contains code for the paper: "Enabling Local Neural Operators to perform Equation-Free System-Level Analysis" G. Fabiani, H. Vandecasteele, S. Goswami, C. Siettos, I.G. Kevrekidis ...
Upstream

State-owned operator fires up key shallow-water asset in South China Sea

Chinese offshore operator CNOOC Limited has started production at the Xijiang Oilfields 24 Block Development Project in the South China Sea. The project offshore China is expected to achieve plateau ...
IEEE

Towards Federated Learning-Based Forecasting of Renewable Energy Production

Abstract: The integration of volatile renewable energy sources requires reliable generation forecasts. Traditional forecasting methods that rely on commercial providers impose costs and de-pendencies ...
Upstream

Canadian operator eyeing production growth in 2026

Canadian Natural Resources (CNR) is expecting to increase production by about 3% in 2026, the Calgary-based operator said on Tuesday in its outlook for next year. The company set its production target ...