sohagkumarsaha Goto Github PK

-introduction-to-radar-using-python-and-matlab

Companion software for Introduction to Radar Using Python and MATLAB

ad_fl_dl

Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.

book-case-study

This repository accompanies the book Core Concepts and Methods in Load Forecasting.

capstone_repo

Short-Term Solar Forecasting Using LSTMs

ceemdan-ewt-lstm

Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method

ceemdan-vmd-gru

CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)

ceemdan_lstm

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

cheetsheet4pythoncoding

coding-interview-university

A complete computer science study plan to become a software engineer.

control-system-design

# control-system-design Design robust control system in Matlab (programming+Simulink). Key themes of application: (1) Power System (2) Vehicle Propulsion (3) Distributed Generating Unit Control (4) Control of Cyber-Physical System (5) Smart Grid Controlling. ## Key Controller ## (1) Proportional-Integral-Derivative (PID) (2) Linear Quadratic Regu

course-ts

Time Series

covid-19-twitter-data-analysis

data-science

Collection of useful data science topics along with articles, videos, and code

distributed-mvdc-grid-voltage-control-based-on-tso-dso-interactions

MATLAB based Implementation of Distributed optimization and load flow for MVDC systems in high integration of Renewables

draw.io-public

eb1a

EB1A Full Application - I-140 and I-485

ece6040spring

ee-fundamentals

electric-power-hourly-load-forecasting-using-recurrent-neural-networks

This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.

emsemble-deep-rl-for-uc-problems

ephcc

Electric Power Hardware-in-the-loop Controls Collaborative

ettercap

Ettercap Project

fdia-classification

This repository will have pre-processed dataset and related scripts for building Machine learning based model for classification of False Data Injection Attack.

file-searching-tool-in-folder-and-subfolders

forecasting-solar-energy

Forecasting Solar Power: Analysis of using a LSTM Neural Network

globalmodelingframework

A code from paper "A Global Modeling Framework for Load Forecasting in Distribution Networks"

greek-solar-wind-energy-forecasting

Repository hosting the code and dataset of the project titled "Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles", that was submitted in the AI-CARES 2021 conference

hostingcapacity_opendss

The second example presented on the fourth day of OpenDSS online training 2021.

ids_sensor

leetcode

All Python solutions for Leetcode