Papers

Made Adi Paramartha Putra

- Title 1: Adaptive LRFU Named Data Network ReplacementPolicy in Industrial IoT(KICS 2021)
- Title 2: Smart grid for Energy consumption prediction using LSTM in Industrial Environment

Last Week's Progress

- Watch MIT Lecture 6.S191 series about Deep Learning
- NDN IoT Paper Review

This Week Todo's

- Adaptive LRFU Replacement Policy Module
- Simulate the Adaptive LRFU and compare it with another Replacement Policy
- Start to write first papers

Project Progress

Smart Grid for Energy Consumption Prediction using LSTM in Industrial Environment

Last Week's Project

- Get Smart Grid dataset based on paper review
1. A Hybrid LSTM Neural Network for Energy Consumption
Forecasting of Individual Households
2. Short Term Electrical Energy Consumption
Forecasting using RNN-LSTM

- Feed dataset into LSTM model

This Week's Project

- Continue survey on smart grid-based LSTM for energy prediction and forecasting
- Search for another dataset option
- Trial with 1 paper datasets

Monthly Goals

- Design a new LSTM-based algorithm for Smart Grid prediction and forecasting
- Finish first papers related to NDNIIoT

Annual Goals

- Submit and accepted in Local and International Conference (KICS & ETFA)
- Submit and accepted in IEEE Journal / SCI - ICUFN 2021