With the 2009/28/EC Directive, the European Union has to guarantee three objectives by
2020: 20% reduction in greenhouse gases emissions, 20% share of renewable energy and …

Energy systems around the world are going through tremendous transformations, mainly
driven by carbon footprint reductions and related policy imperatives and low-carbon …

The violent uncertainty of renewables imposes substantial challenges into the revenue
adequacy and cost recovery of electricity markets. Electric vehicles (EVs) can bring up …

Artificial neural networks (ANNs) are a favorable scheme in load forecasting applications
mainly due to their endogenous capacity of robust modeling of data sets with highly non …

Prediction and shaping of dynamic response of the demand will enable advanced control
algorithms for active demand management as well as improved stability assessment of the …

The widespread installation of distributed energy resources and demand side management
resources into the distribution system has the potential to lead its operational parameters …

The dynamic response of the demand is defined as the time-domain real and reactive power
response to a voltage disturbance, and it represents the dynamic load characteristics. This …

Accurate prediction of load composition at bulk supply points can significantly improve
power system planning, electricity market analysis and demand side management. This …

One of the main missions of a Transmission System Operator (TSO) is to provide reliable
connection to grid users with a committed level of power quality, including a good quality for …

Reactive power plays a vital role in the stability of power system, lack of which can lead to
degradation in overall system votage profile. Conventionally the reactive power demand is …