A Forecasting Approach for IoT-Based Energy and Power Quality Monitoring in Buildings

Author:

Panjaitan Seno Darmawan1ORCID,Tjen Jimmy1ORCID,Sanjaya Bomo Wibowo1ORCID,Wigyarianto F. Trias P.1,Khouw Stephanie1

Affiliation:

1. Department of Electrical Engineering, Automation and Control Research Group, Universitas Tanjungpura, Pontianak, Indonesia

Funder

Ministry of Research, Technology, and Higher Education (Kemenristekdikti) Indonesia

especially on IoT system development in 2020

Universitas Tanjungpura as extension to develop a forecasting approach in 2021

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Cited by 11 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. Forecasting Energy Consumption Patterns: Weather-Driven Insights from Time Series Analysis;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

2. Application of Genetic Algorithms in Multi-Objective Optimization Design of Ultra-Low Energy Consumption Buildings with Prefabricated Steel Structures;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

3. Energy Performance Forecasting in Buildings Using Machine Learning;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17

4. Power quality monitoring in electric grid integrating offshore wind energy: A review;Renewable and Sustainable Energy Reviews;2024-03

5. Power Quality Assessment of Power Systems with PV Sources Using Discrete Equivalent Models;2024 IEEE Texas Power and Energy Conference (TPEC);2024-02-12

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