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.

Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
IEEE

Performance Evaluation of Activation Functions in Deep Residual Networks for Short-Term Load Forecasting

Abstract: Short-Term Load Forecasting (STLF) is essential for ensuring efficient and reliable power system operations, requiring accurate predictions of electricity demand. Deep Residual Networks ...
GitHub

data load tool (dlt) — the open-source Python library that automates all your tedious data loading tasks

dlt supports Python 3.9 through Python 3.14. Note that some optional extras are not yet available for Python 3.14, so support for this version is considered experimental. dlt is an open-source Python ...
IEEE

A Service Function Chain Deployment Method Based on Network Flow Theory for Load Balance in Operator Networks

Abstract: Network function virtualization technology makes the deployment and management of network service more flexible and elastic by decoupling network function from dedicated hardware. The ...
GitHub

A Medical Visualisation Add-On for Blender

This Blender add-on is intended to be used to create visulisations of radiation therapy treatment plans including DICOM images, plans, structures and dose. This can be used to create high quality ...