In this study, information gap decision theory (IGDT) is reformed to formulate the uncertain parameters of wind power, photovoltaic and load. Traditional IGDT presumes that positive negative deviations predicted value are equal, it would result in imprecise assessment fluctuated intervals. This study proposes an improved overcome inaccuracy traditional by considering unsymmetrical fluctuation l...

Target Audience. Scientists interested in orientation mapping. Purpose. Mapping fiber orientations by monitoring internal susceptibility-induced gradient distributions without relying on sample reorientations. Introduction. Orientation mapping plays a central role in functional connectivity studies of the Central-Nervous-System (CNS). Diffusion-Tensor-Imaging (DTI) Susceptibility-Tensor-Imaging...

This article proposes a new two-stage hybrid stochastic-information gap-decision theory (IGDT) based on the network-constrained unit commitment framework. The model is applied for market clearing of joint energy and flexible ramping reserve in integrated heat- power-based systems. uncertainties load demands wind power generation are studied using Monte Carlo simulation method IGDT, respectively...

Solar energy and bioenergy are two leading renewable forms of in the move toward a near-zero-emission electric power industry. Concentrated solar units coupled with thermal storage biomass plant offer dispatchable electricity, raising their ever-growing role future renewable-dominated networks. This paper proposes day-ahead intraday dispatch model for maximizing profit an Integrated Biomass-Con...

In this paper, a robust scheduling model is proposed for combined heat and power (CHP)-based microgrids using information gap decision theory (IGDT). The microgrid under study consists of conventional generation as well boiler units, fuel cells, CHPs, wind turbines, solar PVs, storage battery energy systems (BESS) the set distributed resources (DERs). Additionally, demand response program (DRP)...

Global electric vehicles (EVs) fleet is expanding at a rapid pace. Considering the uncertain driving pattern of EVs, they are dynamic consumers electricity and their integration can give rise to operational problems jeopardize security power system. Under such circumstances, implementation demand-side response (DSR) programs more likely be an effective solution for reducing risks load curtailme...

Label ranking is considered as an efficient approach for object recognition, document classification, recommendation task, which has been widely studied in recent years. It aims to learn a mapping from instances to a ranking list over a finite set of predefined labels. Traditional solutions for label rankings cannot obtain satisfactory results by only utilizing labeled data and ignore large amo...