Title2: Time-Efficient Deep Learning-Based Energy Consumption Prediction for Smart Factory
Target: ETFA 2021 Conference
Title3: Enhanced Vulnerability Detection in Scada Systems using Hyper-Parameter-Tune Machine Learning
Target: MILCOM 2021 Conference
Title 4: Scada Networks Vulnerability and Attack Specifics: Reliability and Efficient Detection
Target: IEEE Transaction on Industrial Informatics
Title 5: Efficient and Real-Time Energy Consumption Forecasting for Smart Factories using NARX
Target: IEEE Transaction on Industrial Informatics
Title 2: Awaiting reviewer’s response/comments
Title 3: 1. To start model training
2. Performance Evaluation
Title 4: 1. Trained model
2. Performance Evaluation
3. Conclusion
Title 5: 1. To continue with the survey of related literature
2. To continue with Introduction
Title 2: Still awaiting reviewer’s response/comments
Title 3: 1. Trained model
2. Performance Evaluation
3. Conclusion
4. To get Professor’s approval to submit to Milcom 2021
Title 4: 1. Fine-tune paper
2. Plagiarism and English grammar check
3. To Seek Professor’s approval for submission to the IEEE Journal of Industrial Informatics
to meet up with June 30 timeline.
Title 5: 1. To continue with the survey of related literature
2. To continue with Introduction
Smart Grid Energy for Energy Consumption Prediction Using LSTM Model in Industrial Environment
To submit the final report of the project
Compilation of all reports on project
1. To conclude and submit Title 2
2. To conclude Titles 3 and 4
3. To continue with Machine Learning
1. Attend at least one NSL approved Domestic Conference
2. Attend at least one International Conference
3. Submit at least two International Journals