Papers

Title 1: Anomaly Detection of Malicious Energy Usage in Smart Factories using Deep Neural Network
Target: KICS 2012

Title 2: Deep Learning-Based Energy Consumption Prediction for Smart Factory
Target: ETFA 2021

Title 3: Efficient and Real-Time Energy Forecasting in Smart Factories using CNN-LSTM
Target: IEEE Industrial Informatics

Title 4: Convolutional Neural Network-Based Vulnerability Detection in SCADA Systems
Target: MILCOM 2021

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

Last Week's Progress

Title 1 - Completed

Title 2
1. Performance Evaluation
2. Conclusion and review of Abstract

Title 3
1. Completed Introduction
2. Related works
3. Continue survey of related papers
4. Started data preprocessing on smart factory energy dataset

Title 4
1. Introduction
2. Survey of related papers

Title 5
1. Survey of related literatures

This Week Todo's

Title 2
1. Finalize fine tuning of Abstract based on results
2. Submission

Title 3
1. Start training dataset with Machine Learning
2. Continue survey of related papers
3. System Methodology

Title 4
1. Introduction
2. Survey of related papers

Title 5
1. Survey of related literatures

Project Progress

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

Last Week's Project

1. Reviewed and compared Machine learning Algorithms for Smart Energy Forecasting to enable choice of proposed algorithm

This Week's Project

2. To start training Energy dataset on proposed model

Monthly Goals

1. To conclude and submit Title 2

2. To conclude Titles 3 and 4

3. To continue with 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