Forecasting Electricity Consumption using Long Short Term Memory and Prophet Algorithm

Author:

Murti Muhammad Ary1,Setianingsih Casi1,Narendra Iga1,Angelo Kenneth1,Aryomukti Muchlis1,Bazwir Arasy1,Kurniawan Reviandi Naufal1

Affiliation:

1. Telkom University,School of Electrical Engineering,Bandung,Indonesia

Publisher

IEEE

Reference12 articles.

1. Building’s Electricity Consumption Prediction Using Optimized Artificial Neural Networks And Principal Component Analysis;xue;Accepted Manuscript,2015

2. Forecasting China’s Electricity Consumption Using a New Grey Prediction Model;ding;Energy,2018

3. Electricity Price Forecasting Using Recurrent Neural Networks

4. Prediction of building electricity usage using Gaussian Process Regression;zeng;J Prepr,2019

5. Predicting Active, Death, and Recovery Rates of Covid-19 in Algeria using Facebook’ Prophet Model;lounis;International Journal of Advanced Trends in Computer Science and Engineering,2020

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Hybrid Time Series Rainfall Prediction Model Using Neural Prophet and LS TM;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

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