Novel energy-aware cloud management methods dynamically reallocate computation across geographically distributed data centers to leverage regional electricity price and temperature differences. As a result, a managed virtual machine (VM) may suffer occasional downtimes. Current cloud providers only offer high availability VMs, without enough flexibility to apply such energyaware management. In ...

In order to cope with the unpredictability of the energy market and provide rapid response when supply is strained by demand, an emerging technology, called energy demand management, enables appliances to manage and defer their electricity consumption when price soars. Initial experiments with our multi-agent, power load management simulator, showed a marked reduction in energy consumption when...

Deregulated energy market participants mostly must use theHourly Price Forward Curves (HPFC) to evaluate their long term energy price contracts. We propose a new framework to estimate hourly, daily and yearly energy price profiles, based on the median estimation, instead of the widely used mean value. Hourly and daily data used for estimation are normalized in order to minimize the seasonality ...

Representing peak and off-peak energy prices is often difficult in hydropower modeling because the time scale of price variability (hours or less) is much shorter than that needed for many operations planning models (days to months). This work extends and examines the reliability of an existing approximate method to incorporate hourly energy price information into revenue functions used in hydr...

Due to increasingly expansion of energy consumption and also decreasing and tendency towardsending fossil energy reserves, the current energy cycle needs to use alternative energy speciallywind energy, because it’s considerably cheaper than other recycling sources. The present researchinvestigates possibility of creating wind Power Station economically at Soltanieh zone of Zanajnprovince regard...