The electricity market is being increasingly challenged by new trends, such as the high
penetration of intermittent renewables and the transformation of the consumers' energy …

This paper contributes to a comprehensive perspective on the application of co-optimization
in the energy sector–tracking the frontiers and trends in the field and identifying possible …

High accurate wind speed forecasting plays an important role in ensuring the sustainability
of wind power utilization. Although deep neural networks (DNNs) have been recently …

Advanced stochastic programming-based power system operations planning requires wind
power forecast in the form of scenarios. Generating wind power scenarios reflecting the …

This paper formulates the offering problem for a cluster of wind-storage systems in the day-
ahead energy market using a risk-constrained stochastic programming approach that …

By the liberalization of energy markets, renewable energy producers are increasingly selling
their electricity in the day-ahead market. However, day-ahead forecasts of wind generators …

The intermittent and uncertain properties of wind power have presented enormous obstacles
to the planning and steady operation of power systems. In this context, as an effective …

In order to satisfy the increasing demand for electricity, a huge burden is levied on the
conventional coal-fired thermal power generation units, which affects the environment and …

The growing penetration of wind generation comes with implicit challenges for power system
operators, one of which is the effect that additional shares have on the sufficient magnitude …

Short-term wind power scenarios significantly affect the economic efficiency of the stochastic
power system scheduling. In order to better capture the nonlinear spatio-temporal …