This paper considers the effect of nonlinear atmospheric disturbances on wind power prediction. A Lorenz system is introduced as an atmospheric disturbance model. Three new improved wind forecasting models combined with a Lorenz comprehensive disturbance are put forward in this study. Firstly, we define the form of the Lorenz disturbance variable and the wind speed perturbation formula. Then, d...

The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for dispatching and distribution issues, at the transmission system operator level, as well as the electrical distributor and power system operato...

In the recent years, due to the increase in the average temperature and environmental pollution and also the demand for energy, finding new resources for energy generation has been a big challenge for the governments. Among the various renewable energy resources, the energy derived from the wind farms has absorbed a great deal of attention. Due to the increase in the power generated by the wind...

Field-programmable gate arrays (FPGAs) are a popular choice for digital circuit implementation because of their growing density and speed, short design cycle, and steadily decreasing cost. Power consumption, specifically leakage power, has become a major concern for the semiconductor industry and its customers. FPGAs are less power-efficient than custom ASICs, due to the overhead required to pr...

BACKGROUND The purpose of this study was to evaluate the American Society of Cataract and Refractive Surgery (ASCRS) intraocular lens (IOL) calculator for eyes with prior radial keratotomy and assess the accuracy of its methods in predicting IOL power in patients with previous radial keratotomy. METHODS This retrospective study included data from 15 eyes with previous radial keratotomy and su...

We compare structural different methods of the artificial intelligence for wind power prediction modeling and build additionally ensembles of the models. As input variables for these prediction methods weather data of a numerical weather prediction model are used. The performance of the presented methods is compared to the predictions of the neural network based model.

Branch Prediction is a key task in the operation of a high performance processor. An inaccurate branch predictor results in increased program run-time and a rise in energy consumption. The drive towards processors with limited die-space and tighter energy requirements will continue to intensify over the coming years, as will the shift towards increasingly multicore processors. Both trends make ...

Abstract In recent years, renewable energies have been covering an increasing part of the worldwide electrical power demand. The additional volatility introduced to power grids by weather dependent renewable energy sources, i.e., wind and solar, makes it necessary to improve the accuracy of energy forecasts, so that the underlying electrical grid can be operated in a cost efficient way. Governm...

High-level power estimation, when given only a high level design specification such as a functional or RTL description, requires high-level estimation of the circuit average activity and total capacitance. Considering that total capacitance is related to circuit area, this paper addresses the problem of computing the area complexity of single-output Boolean functions given only their functional...

Social media today provide an impressive amount of data about users and their societal interactions, thereby offering computer and social scientists, economists, and statisticians – among others– many new opportunities for research exploration. Arguably, one of the most interesting lines of work is that of predicting future events and developments based on social media data, as we have recently...