The rapid increase of power consumption calls for efficient and effective energy usage and
conservation strategies in buildings. One of the requirements of achieving such a goal is …

With the development of the smart grid, more load data can be collected and utilized to
facilitate bidirectional communications between the supply-side and demand-side. More …

Significant progress has been achieved in managing energy consumption in the residential
sector in recent years. However, the industrial sector requires better coverage due to its …

In this paper, we propose a methodology based on machine learning techniques to
characterize the flexibility of electricity consumption in the residential sector. The main …

Nonintrusive load monitoring (NILM) can facilate the transition to energy-efficient and low-
carbon buildings. Event detection is the first and most critical step in event-based NILM and …

Nowadays, the load monitoring system is an important element in smart buildings to reduce
energy consumption. Nonintrusive load monitoring (NILM) is utilized to determine the power …

Non-intrusive load monitoring (NILM) has been on the rise for more than three decades. Its
main objective is non-intrusive load disaggregation into individual operating appliances …

Event detection is a prerequisite and key component of NILM (Non-Intrusive Load
Monitoring) by monitoring transient changes in residential loads to discern whether a …

Smart energy management demands better ways to understand the energy consumption of
buildings. Nonintrusive Load Monitoring (NILM) is an emerging technique that …

Abstract Non-Intrusive Load Monitoring (NILM) technology has emerged as a promising
approach to promote sustainable development. However, the complexity of real-world …