Papers

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

Target: KICS 2021
1. Completed

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 Deep Learning

Last Week's Progress

Title 2:
1. Methodology and System Model
2. Continue fine tuning paper
3. Continue comparison of Deep Learning Algorithms dataset


Title 3:
1. Continue with training on dataset
2. Continue fine tuning paper
3. Continue with review of related literatures

This Week Todo's

Title 2
1. Performance Evaluation
2. Conclusion
3. Fine tuning of Abstract based on results
4. Conclude


Title 3
1. Continue work on dataset training and comparison
2. Continue review of related literatures

Project Progress

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

Last Week's Project

Attended Lectures
Submitted Assignments and Reports
Continue comparison of some Deep Learning Algorithms
Continue with survey of related works

This Week's Project

Attend Lectures
Submit Assignments and Reports
Continue search for Industrial related energy dataset
Continue comparison of some Deep Learning Algorithms
Continue with survey of related works

Monthly Goals

Continue paper survey on paper research
Continue Machine Learning with Python and Latex

Annual Goals

Attend at least one NSL approved Domestic Conference
Submit and Publish at least two International Journals