A Prototype Model of Monitoring Energy Consumption and Optimizing Distribution of Smart Buildings
Education computing; Energy utilization; Intelligent buildings; Internet of things; Long short-term memory; Open systems; Particle swarm optimization (PSO); Remote control; Arduino; Firebase; Firestore; LSTM; MQTT broker; Neural-networks; Opencv; PSO; Raspberry PI; Weather API; Python
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Tenaga Nasional |
| id |
my.uniten.dspace-27070 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-270702023-05-29T17:39:15Z A Prototype Model of Monitoring Energy Consumption and Optimizing Distribution of Smart Buildings Shalaby A.M. Sidhu M.S. Tan W.C. Wei L.Z. Yong C.J. Xi L.Y. 57972325200 56259597000 57169386900 57972111900 57971500700 57971500800 Education computing; Energy utilization; Intelligent buildings; Internet of things; Long short-term memory; Open systems; Particle swarm optimization (PSO); Remote control; Arduino; Firebase; Firestore; LSTM; MQTT broker; Neural-networks; Opencv; PSO; Raspberry PI; Weather API; Python Given the upcoming post-pandemic times, there are more universities considering adopting the hybridization model. As such, not all the facilities and building utilities will be fully utilized as only half of the student population will be expected, thus wasting the campus's energy consumption. An intelligent management system can be implemented into smart campuses to reduce the overall electrical bills to adapt to the hybrid education model. The research was then conducted on existing prior work around intelligent buildings and energy optimization. It was found that many of the energy optimization models utilized an IoT application highly specific to the designed IoT system only. This inspired developing an open source generalized IoT application to provide two-way communication between the energy optimization models and IoT devices. This would allow researchers to test their intelligent energy optimization models without building a support application from scratch. During the development phase, Firebase and open-source Chart JS were used to create an interactive web application with features including a dashboard, insightful data analysis, and remote-control features to be applied in a smart campus. A successful connection was established with a Raspberry Pi-based IoT system, where data could be stored and retrieved from the database into the web application. The second phase is going to be implementation of AI model which is currently in progress and being trained to fulfill the required criteria. � 2022 IEEE. Final 2023-05-29T09:39:15Z 2023-05-29T09:39:15Z 2022 Conference Paper 10.1109/IICAIET55139.2022.9936774 2-s2.0-85142248169 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142248169&doi=10.1109%2fIICAIET55139.2022.9936774&partnerID=40&md5=2d9c2bcd150202eb57636c51e122b3c0 https://irepository.uniten.edu.my/handle/123456789/27070 Institute of Electrical and Electronics Engineers Inc. Scopus |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| description |
Education computing; Energy utilization; Intelligent buildings; Internet of things; Long short-term memory; Open systems; Particle swarm optimization (PSO); Remote control; Arduino; Firebase; Firestore; LSTM; MQTT broker; Neural-networks; Opencv; PSO; Raspberry PI; Weather API; Python |
| author2 |
57972325200 |
| author_facet |
57972325200 Shalaby A.M. Sidhu M.S. Tan W.C. Wei L.Z. Yong C.J. Xi L.Y. |
| format |
Conference Paper |
| author |
Shalaby A.M. Sidhu M.S. Tan W.C. Wei L.Z. Yong C.J. Xi L.Y. |
| spellingShingle |
Shalaby A.M. Sidhu M.S. Tan W.C. Wei L.Z. Yong C.J. Xi L.Y. A Prototype Model of Monitoring Energy Consumption and Optimizing Distribution of Smart Buildings |
| author_sort |
Shalaby A.M. |
| title |
A Prototype Model of Monitoring Energy Consumption and Optimizing Distribution of Smart Buildings |
| title_short |
A Prototype Model of Monitoring Energy Consumption and Optimizing Distribution of Smart Buildings |
| title_full |
A Prototype Model of Monitoring Energy Consumption and Optimizing Distribution of Smart Buildings |
| title_fullStr |
A Prototype Model of Monitoring Energy Consumption and Optimizing Distribution of Smart Buildings |
| title_full_unstemmed |
A Prototype Model of Monitoring Energy Consumption and Optimizing Distribution of Smart Buildings |
| title_sort |
prototype model of monitoring energy consumption and optimizing distribution of smart buildings |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806427700534968320 |