Papers

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

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

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

Title 4: Predicting Security Vulnerability using Deep Neural Networks in SCADA Systems

Title 5: Reliability Analysis of Vulnerability Detection in SCADA Systems using Machine Learning

Last Week's Progress

Title 1: Completed

Title 2
1. Conducted Performance Evaluation of compared Models
2. Concluded Abstract and Related Works
3. Paper tentatively concluded for ETFA 2021

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. Proposed Topic
2. Survey of related papers

Title 5
1. Proposed Topic
2. 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
2. Performance Evaluation of Compared Machine Learning Algorithms to enable choice of model

This Week's Project

Start training Machine Learning choice of Algorithm for Smart Energy Forecasting

Monthly Goals

1. To conclude and submit Title 2

2. To conclude Titles 3 and 4

2. To continue with machine learning

Annual Goals

1. To attend at least one NSL approved Domestic Conference

2. To attend at least one International Conference

3. To Submit at least two Journals