Papers

1. Machine Learning for IIoT
2. To continue survey of related literatures to gain understanding of research works in IIoT and IoT
3. Deep Learning -based forecasting approach in Smart Grids with micro-clustering and Bi-directional LSTM Network
4. Energy Load Clustering in Smart Grid: Methodologies, Applications and Future Trends

Last Week's Progress

1. Attended Lectures
2. Submitted Reports and Assignments
3. Surveyed Papers on Deep Learning -based forecasting approach in Smart Grids with micro-clustering and Bi-directional LSTM Network and Energy Load Clustering in Smart Grid: Methodologies, Applications and Future Trends

This Week Todo's

1. To attend Lectures
2. To continue with Machine Learning
3. To continue with review of literatures

Project Progress

Smart Grid Energy Forecasting using LSTM Model

Last Week's Project

1. Survey Paper on Deep Learning -based forecasting approach in Smart Grids with micro-clustering and Bi-directional LSTM Network
2. Prepared PPT for Presentation

This Week's Project

To continue with review of related literatures on Smart Grid Energy

Monthly Goals

1. To get familiar with Latex Environment
2. To continue survey of Papers on Smart Grid Energy Project
3. To continue with Machine Learning

Annual Goals

To attend at least one NSL approved Domestic Conference
To attend at least one International Conference
To submit or publish at least two International Journal Papers