Report

Paramartha

March 29, 2021 - April 4, 2021

Papers

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

10% Progress
Last Week's Progress

- 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

This Week Todo's

- Watch MIT Lecture 6.S191 series about Deep Learning

- Installing NDN environment (NS3 + ndnSIM)

- Literature review on Industrial IoT simulation parameters and characteristic.

Project Progress

Smart Grid for Energy Consumption Prediction using LSTM in Industrial Environment

10% Progress
Last Week's Project

- Search and review more papers related to LSTM and Smart Grid

This Week's Project

- Continue reviewing the paper and start to collect Dataset for Smart Grid

Monthly Goals

- Able to simulate DL with a modified model

- Design the proposed solution of Smart Grid Energy into an LSTM simulation

Annual Goals

- Accepted paper in Local & International Conference

- Accepted journal indexed by SCI