Abstract Future energy systems will be dominated by variable renewable power generation and interconnected sectors, leading to rapidly growing complexity. Flexible elements are required balance the variability of sources, including backup generators storage devices, but also flexible consumers. Demand response (DR) aims adapt demand generation, in particular shifting load time. In this article,...

Under the smart grid environment, demand response resources (DRRs) are introduced as a virtual power plant to enhance power system adequacy. DRRs often fail to reduce their load due to some external factors. In this paper, a reliability model of a DRR is constructed as multi-state conventional generation units, where the probability, frequency of occurrence, and departure rate of each state can...

Consider a lobby group of exhaustible-resource suppliers, which bargains with the government over the extraction of an exhaustible resource and over contribution payments. We characterize the path of contributions and the resulting extraction path, taking into account how the environmental damage of resource usage and the demand elasticity change optimal extraction. A high marginal environmenta...

Cloud computing applications must be allocated sufficient resources to comply with Service Level Agreements (SLAs). This paper considers data-driven probabilistic modeling of application resource demand for resource allocation. The modeling method is focused on peak demand and SLA violations and relies on a branch of statistics known as extreme value theory (EVT). Rigorous statistical validatio...

Demand response provides utilities with a mechanism to share with end users the stochasticity resulting from the use of renewable sources. Pricing is accordingly used to reflect energy availability, to allocate such a limited resource to those loads that value it most. However, the strictly competitive mechanism can result in service interruption in presence of competing demand. To solve this i...

Microgrid (MG) is considered as a feasible solution to integrate the distributed energy sources. In this paper, optimal scheduling of a grid-connected MG is investigated considering different power sources as combined heat and power (CHP) units, only power and heat generating units, and battery storage systems. Two different feasible operating regions are considered for the CHP units. In additi...

This paper considers a residential market with real-time electricity pricing and flexible electricity consumption profiles for customers. Such a market raises an optimisation problem for home automation systems where they need to schedule consumption activities to reduce costs, whilst maintaining a base level of comfort and convenience. This optimisation problem faces uncertainty in real-time p...