Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/70930
Title: Data analytics for building management system using wireless metering infrastructure
Authors: Neo, Sebastian Guang Jin
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2017
Abstract: This report focuses on data analytics for building management system. Data from the smart meters is transmitted and collected in a database so that aggregators and utility companies can keep track and understand power consumption better. Using this system, aggregators will be able to come up with better demand response techniques, benefits and load shifting method that are commonly used in smart grids. Using the system, utility companies will know how much electricity they need to generate in different periods of a day so that there will not be over-generation. As the demand in electricity increases, generation companies try to meet the demands of customers without causing more harm to the environment. They do this by using different approaches to meet the expectations of the consumers more efficiently. This demand response approach makes use of technologies and incentives to encourage consumers to participate in the program by allowing users to keep track of their consumption and to reduce their consumption when the electric tariff is high during peak periods from 7 a.m. to 11.00 p.m. Depending on the program chosen by the consumers, monetary incentives will be rewarded.
URI: http://hdl.handle.net/10356/70930
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_Final_Report.pdf
  Restricted Access
Data Analytics, Smart Meter, Data Retrieval7.52 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.