This study aims to develop a concrete occupancy prediction as well as an optimal
occupancy-based control solution for improving the efficiency of Heating, Ventilation, and Air …

Solar forecasting has evolved towards becoming a key component of economical realization
of high penetration levels of photovoltaic (PV) systems. This paper presents two novel …

The advancing machine learning techniques have been widely applied to data-driven
dynamic stability assessment (DSA) in modern smart grids. However, how to extract critical …

A high penetration of renewable energies into the modern grid creates randomness and
uncertainties which require advanced real-time monitoring and control. Phasor …

With the increasing integration of renewable generation, many power grids have gradually
formed AC–DC hybrid systems. Abnormal operations, such as DC blocking faults and …

A precise, straightforward, and efficient data-driven methodology is introduced to estimate
the most important aggregated generation-load parameters of the power system frequency …

The operation of power systems is affected by diverse technical, economic, and social
factors. Social behavior determines load patterns, electricity markets regulate the …

In large-scale interconnected power grids, the frequency dynamic response exhibits
temporal-spatial distribution characteristics, of which the internal mechanism is not clear. In …

This work investigates the data quality issue for synchrophasor applications, and pays
particular attention to synchronization signal loss and synchrophasor data loss events. First …

The precise measurements of the synchrophasor and frequency from phasor measurement
units (PMUs) are widely used in power grid applications. With the improvement of the …