Made Adi Paramartha Putra
-Performance Comparison of Named Data Network IoT (NDNIoT) and IP Based IoT using Advance Least Recently Frequently Used Replacement Policy
-Smart Grid Energy Forecasting based on LSTM Model
-Start to read and review the listed paper about IIoT and ML.
-Write the paper review using LaTex
-Start train and create a simple Model in ML using TensorFlow
-Literature Review:
a. A Multidirectional LSTM Model for Predicting the Stability of a Smart Grid
b. Electric Load Forecasting in Smart Grid Using Long-Short-Term-Memory based Recurrent Neural Network
-Elaborate how LSTM Model & Algorithm works in order to predict & forecast Energy Usage
-Search and preparing the Dataset
Smart Grid Forecasting using LSTM Model
- Find another paper source about Smart Energy Grid and LSTM Prediction
- Search for some Energy Usage Data
-Dataset Preparation
-Able to simulate ML 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