Category: IEEE 2017

Privacy-Enhanced Web Service Composition

Privacy-Enhanced Web Service Composition Data as a Service (DaaS) builds on service-oriented technologies to enable fast access to data resources on the Web. However, this paradigm raises several new privacy concerns that traditionalprivacy models do not handle. In addition, DaaS composition may reveal privacy-sensitive information. In this paper, we propose a formal privacy model in order to extend DaaS descriptions with privacycapabilities. The privacy model allows a service to define a privacy policy and […]


Optimal Prediction Intervals of Wind Power Generation

Optimal Prediction Intervals of Wind Power Generation Abstract: Accurate and reliable wind power forecasting is essential to power system operation. Given significant uncertainties involved in wind generation, probabilistic interval forecasting provides a unique solution to estimate and quantify the potential impacts and risks facing system operation with wind penetration beforehand. This paper proposes a novel […]