Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The traditional approach towards energy auditing is not adequate for today’s energy monitoring as it lacks the necessary data to estimate energy needs. The objective is to obtain more accurate information from single consumers connected to the low- and medium-voltage grid and to find new ways of making our everyday lives more energy efficient. We offer an innovative solution towards energy auditing and full control over the meters by making traditional energy meters to be smart. These sensor elements are originally deployed for invoicing purposes, they allow a previously unattainable degree of detail in state estimation and other grid analysis functionalities. Including the above functionalities, this allows real-time energy monitoring, Power factor inspection, Load scheduling during peak hours via collected data and energy theft.
Keywords:
NODEMCU, Voltage Sensor, Autodesk Eagle Software, Advanced Metering Infrastructure(AMI), The Intelligent Energy Network(IEN), printed circuit board (PCB).
Cite Article:
"Design Of Smart Energy Meter for Intelligent Energy Network", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 2, page no.171 - 176, February-2020, Available :http://www.ijrti.org/papers/IJRTI2002032.pdf
Downloads:
000205092
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator