Please use this identifier to cite or link to this item:
https://idr.l4.nitk.ac.in/jspui/handle/123456789/8418
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Pawar, P. | - |
dc.contributor.author | Sampath, S. | - |
dc.contributor.author | Ghosh, T. | - |
dc.contributor.author | Vittal, K.P. | - |
dc.date.accessioned | 2020-03-30T10:18:39Z | - |
dc.date.available | 2020-03-30T10:18:39Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | 2018 IEEE 7th International Conference on Power and Energy, PECon 2018, 2018, Vol., , pp.304-309 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/8418 | - |
dc.description.abstract | In a world of diminishing energy stores and heightening economic crises, it is imperative to develop systems that diminish our dependence on non-renewable resources. There is a growing trend of Smart Home Energy Management Systems (SHE) which use smart switches to actively monitor the energy consumption by each load, the power available and other factors to switch between renewable resources and the main power grid. An extensive literature survey was conducted and results of various approaches were consolidated and analyzed. The approach detailed is a combination of the merits of all the most popular approaches. The methodology proposed hopes to carry out demand response management on both the grid power and solar power in unison. The problem was split in two: scheduling assuming only solar power is available and scheduling assuming only grid power is available. The two halves are then merged together to have the most efficient utilization of the resources available. Further, after analysing the simulation results, the validity of such a solution is presented while adhering to various real world variables. � 2018 IEEE. | en_US |
dc.title | Load Scheduling Algorithm Design for Smart Home Energy Management System | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
4 Load Scheduling Algorithm.pdf | 785.58 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.