1. Feasibility Surveillance of Smart Factory Factory Energy Consumption Forecasting Using LSTM
1. Continued review of related papers
2. 80% done with Abstract and Introduction
3. Familiarizing with Latex environment
4. Familiarizing with Machine Learning
5. Submitted Final copy of JJCI Conference paper
6. Started work on JCCI Conference Video Ppt
1. Submit copy of JCCI Conference video ppt
2. Continue survey of related papers
3. Collect Datasets
4. Continue working with Latex
5. Continue with Machine Learning
Smart Grid Energy for Energy Consumption Prediction Using LSTM Model in Industrial Environment
Attended Lectures
Submitted Assignments & Reports
Collected Datasets
Reviewed literatures
1. A Hybrid LSTM Neural Network for Energy Consumption
Forecasting of Individual Households
2. Short Term Electrical Energy Consumption
Forecasting using RNN-LSTM
1. Attend lectures
2. Submit Reports and Assignments
3. Continue with review of related literatures
4. Continue with collection of Datasets
5. Continue with Machine Learning and Latex Environment
1. To continue with Paper review
2. To continue with Machine Learning with Python and Latex
3. Submit at least one Conference Paper
1. Attend at least one NSL approved Domestic Conference
2. Submit or Publish at least two International Journals