Bulk data modeling in a smart grid dynamic network has been performed using an
automated load modeling tool (ALMT), an on-load tap changer, and exponential dynamic …

The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …

Smart meters are being deployed replacing conventional meters worldwide and to enable
automated collection of energy consumption data. However, the massive amounts of data …

The objective of this paper is to present a new “event-oriented” method of online load
modeling for the Illinois Institute of Technology (IIT) microgrid based on synchrophasor data …

Load modeling has significant impact on power system studies. This paper presents a
review on load modeling and identification techniques. Load models can be classified into …

This paper presents a rule-based approach using synchrophasor measurements for
generating unit model validation and calibration. The proposed method utilizes frequency …

Increasing penetration of distributed energy resources, varying load demands and big data
of smart meters require new load models to support power system studies. The big data of …

Rapidly varying load demand is one of the greatest problems that distribution system
operators are now experiencing. Many researchers have been implemented the load …

An electric grid consists of transformers, generation centers, communication links, control
stations, and distributors. Collectively these components help in moving power from one …

The short-term load forecasting is crucial in the power system operation and control.
However, due to its nonstationary and complicated random features, an accurate forecast of …