The expansion of wind-generation in the United States poses significant challenges to policy-makers, particularly because wind's intermittency and unpredictability can exacerbate problems of congestion on a transmission-constrained grid. Understanding these issues is necessary if optimal...

The steady growth in the utilisation of wind power for electricity generation has led to increased interest in methods for synthetically generating wind speeds that are able to more accurately determine the site potential.

Two methods, i.e. computer simulation and field measurement, are used in this paper to investigate dynamic pavement loading (DPL) generated by vehicle–pavement interaction. A profilometer is used for measuring road surface roughness. Based on the power spectral density of the measured surface...

The effects of signal spectrum varying on signal processing by the method of parameter-induced stochastic resonance (PSR) are investigated. For a binary signal with a smooth power spectral density (PSD), when the PSD curve becomes sharper and narrower, the performance of the nonlinear system via...

This paper presents a long-term cost analysis of wind power and compares its competitiveness to non-renewable generating technologies. The analysis considers several important attributes related to wind intermittency that are sometimes ignored in traditional generation planning or LCOE...

Electricity generation accounts for 40% of CO2 emissions from fossil fuel combustion in the United States. Section 111 of the Clean Air Act (CAA) allows for greenhouse gas emission regulation by the US Environmental Protection Agency (EPA). In June 2014, EPA issued the Clean Power Plan that...

The expansion of wind-generation in the United States poses significant challenges to policy-makers, particularly because wind’s intermittency and unpredictability can exacerbate problems of congestion on a transmission constrained grid. Understanding these issues is necessary if optimal...

This paper presents novel analyses of high-resolution wind power and electric system load time series data. We use a discrete wavelet transform to resolve the data into independent time series of step changes (deltas) at different time scales, and present a variety of statistical metrics as a...