Made Adi Paramartha Putra
- Performance Comparison of Named Data Network IoT (NDNIoT) and IP Based IoT using Least Recently Frequently Used Replacement Policy
- Smart grid for Energy consumption prediction using LSTM in Industrial Environment
- Literature Review:
a. Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network
b. A Novel Hybrid Short-Term Load Forecasting Method of Smart Grid using MLR and LSTM Neural Network
- Prepare Energy Usage Dataset
- Watch MIT Lecture 6.S191 series about Deep Learning
- Installing NDN environment (NS3 + ndnSIM)
- Literature review on Industrial IoT simulation parameters and characteristic.
Smart Grid for Energy Consumption Prediction using LSTM in Industrial Environment
- Search and review more papers related to LSTM and Smart Grid
- Continue reviewing the paper and start to collect Dataset for Smart Grid
- Able to simulate DL with a modified model
- Design the proposed solution of Smart Grid Energy into an LSTM simulation
- Accepted paper in Local & International Conference
- Accepted journal indexed by SCI