As power systems evolve by integrating renewable energy sources, distributed generation,
and electric vehicles, the complexity of managing these systems increases. With the …

Maintenance strategies have been playing an increasingly important role in improving
engineering systems' performance, supporting the growth of availability and reliability, and …

This paper focuses on the real-time dynamic clustering analysis of power load data based
on the dynamic conditional score (DCS) model, and an autocorrelation increment fuzzy C …

The feature extraction and classification of power load characteristics are vital for time-
varying load modeling. However, due to the influence of the season variation, the existing …

HVAC control strategies have been considered as a means to reduce energy consumption
in buildings. Personalizing the operation of HVAC systems depending on thermal zone …

The forecasting of the load profile of the domestic sector is an area of increased concern for
the power grid as it appears in many applications, such as grid operations, demand side …

Focusing on the problem of capacity planning for a stand-alone wind-photovoltaic-diesel-
battery microgrid, this paper constructs a novel evaluation index system of typical day …

This paper proposes a novel model to cluster similar load consumption patterns and identify
time periods with similar consumption levels. The model represents the customer's load …

In this paper, low-resolution smart metering data analysis is applied to breakdown the load
consumption for household appliances to facilitate the deployment of residential energy …

Non-intrusive load monitoring (NILM), monitoring single-appliance consumption level by
decomposing the aggregated energy consumption, is a novel and economic technology that …