ACOGNITIVEENERGYDIS
| Main Author: | SANUKRISHNANS.B |
|---|---|
| Format: | Article Journal |
| Bahasa: | ang |
| Terbitan: |
, 2021
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/4669662 |
| ctrlnum |
4669662 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>SANUKRISHNANS.B</creator><date>2021-04-07</date><description>This is a complete automated solution for the existing energy distribution and monitoringsysteminIndia,whichcan monitor the meter readings continuously and take necessary actions to maintain the powergrid stable. APower Line Communication(PLC) based modem is integrated with each electronic energymeter. Through PLC the meters communicatewith the coordinator. Coordinator makes use of GPRS modemto upload/download data to/from internet. Apersonal computerwith an internet connection at the other end,which contains the database acts as the billing point. Live meter reading sent back to this billing pointperiodically and these details are updated in a central database. An interactive, user friendly graphicalinterface is present at user end. All the energy logs, notices from the Government, billing details and averagestatistics will be available here. The system splits the loads into critical loads and non critical loads. Thismakes the distribution system more intelligent.More over prior information about the power cuts can bedone. We can easily implement many add-ons such as energy demand prediction, real time dynamic tariff asa function of demand and supply and so on.</description><identifier>https://zenodo.org/record/4669662</identifier><identifier>10.5121/ijp2p.2014.5201</identifier><identifier>oai:zenodo.org:4669662</identifier><language>ang</language><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>AMR</subject><subject>Arduino</subject><subject>Dynamic tariff</subject><subject>Energy monitoring</subject><subject>Touch screen</subject><title>ACOGNITIVEENERGYDIS</title><type>Journal:Article</type><type>Journal:Article</type><recordID>4669662</recordID></dc>
|
| language |
ang |
| format |
Journal:Article Journal Journal:Journal |
| author |
SANUKRISHNANS.B |
| title |
ACOGNITIVEENERGYDIS |
| publishDate |
2021 |
| topic |
AMR Arduino Dynamic tariff Energy monitoring Touch screen |
| url |
https://zenodo.org/record/4669662 |
| contents |
This is a complete automated solution for the existing energy distribution and monitoringsysteminIndia,whichcan monitor the meter readings continuously and take necessary actions to maintain the powergrid stable. APower Line Communication(PLC) based modem is integrated with each electronic energymeter. Through PLC the meters communicatewith the coordinator. Coordinator makes use of GPRS modemto upload/download data to/from internet. Apersonal computerwith an internet connection at the other end,which contains the database acts as the billing point. Live meter reading sent back to this billing pointperiodically and these details are updated in a central database. An interactive, user friendly graphicalinterface is present at user end. All the energy logs, notices from the Government, billing details and averagestatistics will be available here. The system splits the loads into critical loads and non critical loads. Thismakes the distribution system more intelligent.More over prior information about the power cuts can bedone. We can easily implement many add-ons such as energy demand prediction, real time dynamic tariff asa function of demand and supply and so on. |
| id |
IOS16997.4669662 |
| institution |
ZAIN Publications |
| institution_id |
7213 |
| institution_type |
library:special library |
| library |
Cognizance Journal of Multidisciplinary Studies |
| library_id |
5267 |
| collection |
Cognizance Journal of Multidisciplinary Studies |
| repository_id |
16997 |
| subject_area |
Multidisciplinary |
| city |
Stockholm |
| province |
INTERNASIONAL |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS16997 |
| first_indexed |
2022-06-06T04:05:36Z |
| last_indexed |
2022-06-06T04:05:36Z |
| recordtype |
dc |
| _version_ |
1734900976783982592 |
| score |
17.607244 |