Papers

Title 1 Anomaly Detection of Malicious Energy Usage in Smart Factories using Deep Neural Network
Target: KICS Conference

Title2: Time-Efficient Deep Learning-Based Energy Consumption Prediction for Smart Factory
Target: ETFA 2021 Conference

Title3: Efficient Deep Transfer Learning for Scada Vulnerability and Detection
Target: MILCOM 2021

Title 4: Efficient and Real-Time Energy Consumption Forecasting for Smart Factories using NARX
Target: IEEE Industrial Informatics

Title 5: Reliability Analysis of Vulnerability Detection in SCADA Systems using Machine Learning
Target: IEEE Industrial Informatics

Last Week's Progress

Title 1: Completed and Submitted
Title 2: Completed and Submitted

Title 3: 1. Finalized dataset pre-processing
2. To start model training


Title 4: 1. Finalize dataset pre-processing
2. To continue with model training
3. Performance Evaluation

Title 5: 1. Continued with the survey of related literature

This Week Todo's

Title 1: Awaiting response and preparation to attend the conference
Title 2: Awaiting reviewer’s response/comments

Title 3: 1. To start model training
2. Performance Evaluation

Title 4: 1. To continue with model training
2. Fine-tuning of parameters
3. Performance Evaluation

Title 5: 1. To continue with the survey of related literature
2. To continue with Introduction

Project Progress

Smart Grid Energy for Energy Consumption Prediction Using LSTM Model in Industrial Environment

Last Week's Project

Submitted preliminary report

This Week's Project

To continue the pre-processing of the factory dataset

And continue with the paper writing for the journal submission

Monthly Goals

1. To conclude Titles 3 and 4

3. To continue training on Machine Learning

Annual Goals

1. Attend at least one NSL approved Domestic Conference

2. Attend at least one International Conference

3. Submit at least two International Journals