Non-intrusive energy disaggregation by detecting similarities in consumption patterns

Non-intrusive disaggregation of water consumption data in a residential household

The water conservation campaigns in residential households are hindered by the poor understanding of residents of how much water they use. For the better designed interventions new tools are necessary to educate the consumers on the water usage of different consumption events. In this paper we use the fine grained (0.5 Hz) water consumption data that was collected nonintrusively in a household ...

economic optimization and energy consumption in tray dryers

دراین پروژه به بررسی مدل سازی خشک کردن مواد غذایی با استفاده از هوای خشک در خشک کن آزمایشگاهی نوع سینی دار پرداخته شده است. برای آنالیز انتقال رطوبت در طی خشک شدن به طریق جابجایی، یک مدل لایه نازک برای انتقال رطوبت، مبتنی بر معادله نفوذ فیک در نظر گفته شده است که شامل انتقال همزمان جرم و انرژی بین فاز جامد و گاز می باشد. پروفایل دما و رطوبت برای سه نوع ماده غذایی شامل سیب زمینی، سیب و موز در طی...

A Survey on Non-Intrusive Load Monitoring Methodies and Techniques for Energy Disaggregation Problem

The rapid urbanization of developing countries coupled with explosion in construction of high rising buildings and the high power usage in them calls for conservation and efficient energy program. Such a programme require monitoring of end-use appliances energy consumption in real-time. The worldwide recent adoption of smart-meter in smart-grid, has led to the rise of Non-Intrusive Load Monitor...

A Non-Intrusive Pressure Sensor by Detecting Multiple Longitudinal Waves

Pressure vessels are widely used in industrial fields, and some of them are safety-critical components in the system-for example, those which contain flammable or explosive material. Therefore, the pressure of these vessels becomes one of the critical measurements for operational management. In the paper, we introduce a new approach to the design of non-intrusive pressure sensors, based on ultr...

Disaggregation by State Inference A Probabilistic Framework For Non-Intrusive Load Monitoring