IEEE

A Model Predictive Control-Based Energy Management Strategy for Secure Operations in Shipboard Power Systems

Abstract: This work proposes a model predictive control (MPC) approach aimed at optimizing the efficiency of a hybrid shipboard power system (SPS) while ensuring secure operations. A mixed integer ...
IEEE

Li Li

Neural Network,Hardware Implementation,Power Consumption,Hardware Architecture,Spiking Neural Networks,Artificial Neural Network,Bit-width,Convolutional Neural Network,Deep Neural Network,Hardware ...
GitHub

EasyH5 Toolbox - An easy-to-use HDF5 data interface (loadh5 and saveh5)

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

chenxingqiang/dfig-wind-power

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Frontiers

Research on multi-algorithm fusion methods for forecasting typical daily load profiles in power system planning for target years

The case study is based on the MATLAB 2022b platform, using the actual daily 24-h load data from the Western Inner Mongolia Power Grid in China from 2019 to 2023 as the basis. The load data is ...