Papers

1. Smart Grid for Energy Consumption Prediction using LSTM Model in Industrial Environment

Last Week's Progress

1. Attended Lectures
2. Submitted reports and assignments
3. Surveyed Power Demand Forecasting Using LSTM Deep Learning Model for Monitoring Energy Sustainability and other related literatures on Smart Grid Energy
4. Studying Machine Learning with Python
5. Looked at Energy Datasets

This Week Todo's

1. To attend Lectures
2. To submit reports and assignments
3. To continue with Machine Learning with Python
4. To continue with Paper review on Smart Grid Energy

Project Progress

Smart Grid Energy Forecasting using LSTM Model

Last Week's Project

Surveyed Paper on Power Demand Forecasting Using LSTM Deep Learning Model for Monitoring Energy Sustainability and other related literatures on Smart Grid Energy

This Week's Project

To continue with paper survey in relation to Smart Grid for Energy Consumption Prediction using LSTM Model in Industrial Environment
To continue Machine Learning with Python
To continue with Latex
To get dataset for Smart Grid Energy Project

Monthly Goals

To continue with survey of paper in relation to Smart Grid Energy Project
To continue Machine Learning with Python
To run dataset with LSTM Models
To submit at least one conference paper

Annual Goals

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