Consumer systems for home energy management can provide significant energy saving.
Such systems may be based on nonintrusive appliance load monitoring (NIALM), in which …

Electricity consumption in commercial and residential buildings account for around 70
percent of the total electricity consumption in the United States. Through advanced load …

This paper aims to address two timely energy problems. First, significant low-cost energy
reductions can be made in the residential and commercial sectors, but these savings have …

Since the inception of non-intrusive appliance load monitoring (NILM), extensive research
has focused on identifying an effective set of features that allows to form a unique appliance …

A load signature is an electrical expression that a load device or appliance distinctly
possesses. Load signatures can be applied to produce many useful services and products …

This paper presents a new concept based on wavelet design and machine learning applied
to nonintrusive load monitoring. The wavelet coefficients of length-6 filter are determined …

Smart electric meters pose a substantial threat to the privacy of individuals in their own
homes. Combined with non-intrusive load monitors, smart meter data can reveal precise …

Smart meters generate a massive volume of energy consumption data which can be
analyzed to recover some interesting and beneficial information. Non-intrusive load …

Non-intrusive appliance load monitoring has emerged as an attractive approach to study
energy consumption patterns without instrumenting every device in a building. The ensuing …

Rapid advancements in the application of soft computing tools and techniques have proven
valuable in the development of highly scalable systems. Although many resources on the …