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IoT-based smart net energy meter with advanced billing feature for residential buildings including solar PV system

International Journal of Power Electronics and Drive Systems · Vol. 15 No. 2 (2024) · pp. 1254–1265

DOI
10.11591/ijpeds.v15.i2.pp1254-1265
ISSN
2722-256X, 2088-8694
Published
2024-06-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Electricity consumption is rising across all industries. Residential electricity use dominates the sector. Solar photovoltaic (PV) systems on residential roofs are increasing quickly, notably in Dhaka, Bangladesh. PV power generation is high at peak sun irradiance. Due to light loads, residential structures use less electricity. PV system surplus electricity may be transmitted to the national grid. Residential customers may sell power to the government, lowering their electricity expense. Traditional energy meters make it difficult to calculate PV system consumption by load and grid injection. This is possible with net metering. Thus, this study presents an internet of things (IoT)-based smart net energy meter for home users to provide surplus solar PV power and consume grid electricity when needed. With the government's new power tariff rate, the net bill will be calculated automatically. A dedicated mobile application is used to monitor all the activities. The billing statement will be generated automatically, and the payment of that bill will be payable using a redirect link with the same mobile application. The suggested smart net energy meter will inform SMS/mobile app users of gas, smoke, and tempering. The suggested meter's performance and efficacy were evaluated using software simulation and hardware analysis.

Keywords

Collaboration network of the authors

23 authors · 88 co-authorship links · 17 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • American International University-Bangladesh
  • Chittagong University of Engineering & Technology
  • Universitas Airlangga
  • University of Malaya
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Md. Abdur RahmanAmerican International University-Bangladesh3
Jannatul Mawa AkantoAffiliation unknown3
Md Kamrul IslamAffiliation unknown3
S. M. Imrat RahmanAffiliation unknown2
Sumaiya Umme HaniAffiliation unknown2
Bishwajit Banik PathikAffiliation unknown2
Asif MahfuzAffiliation unknown2
Mohammad Khurshed AlamAffiliation unknown2
Md. Kamrul HassanAffiliation unknown2
Saad MekhilefUniversity of Malaya1
Lilik Jamilatul AwalinUniversitas Airlangga1
Aditta ChowdhuryChittagong University of Engineering & Technology1
Monirul Islam MiskatChittagong University of Engineering & Technology1
Tofael AhmedChittagong University of Engineering & Technology1
Shameem AhmadAmerican International University-Bangladesh1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">IoT-based smart net energy meter with advanced billing feature for residential buildings including solar PV system</dc:title>
	<dc:creator>Hassan, Tonmoy</dc:creator>
	<dc:creator>Das, Debraj</dc:creator>
	<dc:creator>Rhyme, Shahir Islam</dc:creator>
	<dc:creator>Bal, Supratik</dc:creator>
	<dc:creator>Hazari, Md. Rifat</dc:creator>
	<dc:creator>Jahan, Effat</dc:creator>
	<dc:creator>Hossain, Chowdhury Akram</dc:creator>
	<dc:creator>Mannan, Mohammad Abdul</dc:creator>
	<dc:subject xml:lang="en-US">advanced metering infrastructure; grid; internet of things; microcontroller; net-meter; solar PV</dc:subject>
	<dc:description xml:lang="en-US">Electricity consumption is rising across all industries. Residential electricity use dominates the sector. Solar photovoltaic (PV) systems on residential roofs are increasing quickly, notably in Dhaka, Bangladesh. PV power generation is high at peak sun irradiance. Due to light loads, residential structures use less electricity. PV system surplus electricity may be transmitted to the national grid. Residential customers may sell power to the government, lowering their electricity expense. Traditional energy meters make it difficult to calculate PV system consumption by load and grid injection. This is possible with net metering. Thus, this study presents an internet of things (IoT)-based smart net energy meter for home users to provide surplus solar PV power and consume grid electricity when needed. With the government's new power tariff rate, the net bill will be calculated automatically. A dedicated mobile application is used to monitor all the activities. The billing statement will be generated automatically, and the payment of that bill will be payable using a redirect link with the same mobile application. The suggested smart net energy meter will inform SMS/mobile app users of gas, smoke, and tempering. The suggested meter's performance and efficacy were evaluated using software simulation and hardware analysis.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/22998</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v15.i2.pp1254-1265</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 15, No 2: June 2024; 1254-1265</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v15.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/22998/14582</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Tonmoy Hassan, Debraj Das, Shahir Islam Rhyme, Supratik Bal, Md. Rifat Hazari, Effat Jahan, Chowdhury Akram Hossain, Mohammad Abdul Mannan</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>