. Die ifo-Analyse zeigt, dass Sektoren, für deren Güter die Nachfrage relativ stark auf Preisänderungen reagiert, in …

approach is in a linear constraint form and is easy to implement in optimization problems. A stochastic model of the hydro …

Demand response (DR) can be very useful for an industrial facility, since it allows noticeable reductions in the … electricity bill due to the significant value of energy demand. Although most industrial processes have stringent constraints in … electricity costs. A four-step procedure, based on Decision Theory, was used to obtain a good solution for the sizing problem …

To reduce the influence of wind power output uncertainty on power system stability, demand response (DRPs) and energy … storage systems (ESSs) are introduced while solving scheduling optimization problems. To simulate wind power scenarios, this … based on Kantorovich distance. Since DRPs and ESSs can influence the distribution of demand load, this paper constructs a …

The power output capacity of a local electrical utility is dictated by its customers’ cumulative peak-demand electrical … electrical demand; thirty to seventy percent of an electric utility’s bill. To reduce peak demand, a real-time energy monitoring … of artificial neural networks (ANNs), provides short-term electrical load forecasting data for controlled peak demand …

/EVs as a useful new tool for system operation and regulation from a review of recent studies and mainly considers two … mainstream methods: demand response and economic dispatch. The potential of using PHEVs/EVs to coordinate renewable energy …

In a deregulated market, independent system operators meet power balance based on supply and demand bids to maximize … shows that we can prevent power companies and demand-resource owners from exercising market powers. The oligopolistic …