GitHub

state-of-charge

This repository contains code for estimating the State of Charge (SoC) of LG HG2 batteries using Fully Connected Network (FCN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) ...
IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
IEEE

Convolution coding and applications: A performance analysis under AWGN channel

Abstract: The convolutional coding technique is used to encode and decode a continuous stream of bits. The basic concept behind the convolution is the overlapping of two signals to form the other one.
C&EN

Urban Air-Quality Estimation Using Visual Cues and a Deep Convolutional Neural Network in Bengaluru (Bangalore), India

Department of Environmental, Water and Agricultural Engineering, Faculty of Civil & Environmental Engineering, Technionāˆ’Israel Institute of Technology, Haifa 3200003, Israel Environmental Physics ...
GitHub

gauss-seidel-method

MATLAB programs for solving the power-flow equations using either of methods: Gauss-Seidel (G-S), Newton-Raphson (N-R) & Fast Decoupled Load Flow (FDLF). Numerical solution to the incompressible ...
Frontiers

Intelligent Predictive Maintenance and Remote Monitoring Framework for Industrial Equipment Based on Mixed Reality

The currently applied maintenance strategies, including Reactive and Preventive maintenance can be considered obsolete. The constant improvements in Information and Communication Technologies as well ...