We forecast high-resolution solar irradiance time series using an exponential smoothing state space (ESSS) model. To stationarize the irradiance data before applying linear time series models, we propose a novel Fourier trend model and compare the performance with other popular trend models...

Electricity power grid operations require information about demand and supply on a variety of timescales and areas. The advent of significant generation contributions by time variable renewable energy sources means that forecasting methods are increasingly required. Some of the earliest...

This study examined faculty's use of time intensive Web 2.0 technologies (blogs, discussion forums, and wikis) in teaching during a university's quest for higher research productivity and higher ranking in the Carnegie Classification. Results show there was a difference in using Web 2.0...

Time series methods are frequently used in solar irradiance forecasting when two dimensional cloud information provided by satellite or sky camera is unavailable. ETS (exponential smoothing) has received extensive attention in the recent years since the invention of its state space formulation....

The I–V characteristic curve is very important for solar cells/modules being a direct indicator of performance. But the reverse derivation of the diode model parameters from the I–V curve is a big challenge due to the strong nonlinear relationship between the model parameters. It seems...