An Intercommunication Home Energy Management System with Appliance Recognition in Home Network

Lai, Ying-Xun; Rodrigues, Joel J. P. C.; Huang, Yueh‐Min; Wang, Honggang; Lai, Chin‐Feng

doi:10.1007/s11036-011-0345-z

Cited by 20 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A smart grid utilizes information and communication technologies (ICT) in two-way communication between customers and power companies, in order to optimize energy distribution and consumption. Intelligent home energy control systems, or smart meters, measure power consumption, communicate with smart home appliances and are capable of optimizing energy consumption and variable electricity tariffs [36, 38], [39]. The European Union (EU), for example, has introduced directives binding the member states to implementing instruments and systems to measure energy consumption and efficiency.…”

Section: Methods and Resultsmentioning

confidence: 99%

Commercializing Emerging Renewable Energy: A Case Study

Lehtovaara

Karvonen

Tuunanen

et al. 2012

International Journal of Engineering Business Management

View full text Add to dashboard Cite

A broad scientific consensus exists that the global climate is changing. The Earth's surface temperature could rise significantly over the next few decades, leading to us witnessing an entirely new and unknown planet. Improved energy efficiency, decreasing use of fossil fuels and wide diffusion of various renewable energy sources are among the focal measures to limit global warming to a sustainable level. The objective of this study is to analyse how renewable energy, such as wind power and bioenergy, could be efficiently commercialized. The evaluation is based on a case study and expert analyses exploiting lateral and parallel thinking methods, and group decision support systems tools. The results reveal that some of the generated ideas are ready for implementation to commercialize renewable energy, whereas others still require technical and commercial development, and improvements before maturity.

show abstract

Section: Methods and Resultsmentioning

confidence: 99%

Commercializing Emerging Renewable Energy: A Case Study

Lehtovaara

Karvonen

Tuunanen

et al. 2012

International Journal of Engineering Business Management

View full text Add to dashboard Cite

show abstract

“…Furthermore, a user can review the detected waste occured in the past. 3) Peak Shaving (Peak Cut) Service [11]: This service reduces the maximum electric power usage in a house and a community by watching the usage of electricity. When the usage exceeds a pre-defined threshold, the service automatically stops or postpone energy-consuming operations.…”

Section: Preliminaries a Value-added Services In Smart Citymentioning

confidence: 99%

Implementing Materialized View of Large-Scale Power Consumption Log Using MapReduce

Ise

Yamamoto

Matsumoto

et al. 2013

2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed C

View full text Add to dashboard Cite

Smart city provides various value-added services by collecting large-scale data from houses and infrastructures within a city. However, it takes a long time for individual applications to use and process the large-scale raw data directly. To reduce the response time, we use the concept of materialized view of database. For a given requirement of an application, the proposed method constructs a materialized view for caching the application-specific data. In this paper, we especially develop a method that uses MapReduce for large-scale power consumption data stored in HBase KVS. We conduct an experimental evaluation to compare the response time between cases with and without the materialized view. As a result, the proposed method with materialized view is effective especially when application repeatedly access the same data, or when the application-specific data is derived from a large set of raw data.Keywords-large-scale house log, materialized view, high-speed and efficient data access, MapReduce, KVS, HBase

show abstract

“…Many current studies have been conducted on HEMS [1][2][3], including energy management system platform designs, communication protocol designs, and software solutions. The main discussions can be approximately divided into power consumption control for household appliances, design of energy saving modules, etc.…”

Section: A Home Energy Management Systemmentioning

confidence: 99%

Integration of IoT Energy Management System with Appliance and Activity Recognition

Lai

Yang

et al. 2012

2012 IEEE International Conference on Green Computing and Communications

Self Cite

View full text Add to dashboard Cite

The Internet of Things (IoT) extends and expands the range of the internet by interconnecting Internet and end device networks. As the raising of awareness about IoT, more and more application may applied for various areas. Especially, how to develop intelligent systems for energy saving becomes a new challenge in all circles.This research integrated appliance and activity recognition mechanism for IoT energy management system. It presented a management service layer for the recognition of current household appliances, which not only establishes communication services among various appliances, and deduced human activity conducted for context data using Naive Bayes from the electric appliances in use and the variation of its states. Finally, the proposed system can automatically achieve energy management by controlling electric appliances.

show abstract

An Intercommunication Home Energy Management System with Appliance Recognition in Home Network

Cited by 20 publications

References 23 publications

Commercializing Emerging Renewable Energy: A Case Study

Commercializing Emerging Renewable Energy: A Case Study

Implementing Materialized View of Large-Scale Power Consumption Log Using MapReduce

Integration of IoT Energy Management System with Appliance and Activity Recognition

Contact Info

Product

Resources

About