Temperature and its variants, such as polynomials and lags, have been the most frequently-used weather variables in load forecasting models. Some of the well-known secondary driving factors of electricity demand include wind speed and cloud cover. Due to the increasing penetration of distributed energy resources, the net load is more and more affected by these non-temperature weather factors. T...

This study discusses the wind loads and their effects on Wind Engineering Research Field Laboratory (WERFL) building at Texas Tech University based on full-scale synchronous pressure measurements. The wind load effects on different frames are calculated and the results are compared to those determined based on the wind loads specified in ASCE7-05. Finally, the challenges faced in the modeling o...

Influence of distributed generation systems in the distribution systems can increase the level of short-circuit current. The effectiveness of distributed generation systems is affected by the size, location, type of distributed generation systems technology, and the methods of connecting to distribution systems. Wind turbine system is the examples of distributed generation source. Not only does...

Leaf shape, including leaf size, leaf dissection index (LDI), and venation distribution, strongly impacts leaf physiology and the forces of momentum exerted on leaves or the canopy under windy conditions. Yet, little has been known about how leaf shape affects the morphological response of trees to wind load. We studied eight Quercus species, with different leaf shapes, to determine the morphol...

This paper describes the performance, generated power flow distribution and redistribution for each power plant on the grid based on adapting load and weather forecasting data. Both load forecasting and weather forecasting are used for collecting predicting data which are required for optimizing the performance of the grid. The stability of each power systems on the grid highly affected by load...

The variability of wind and solar energy technologies is perceived as a major obstacle to employing otherwise abundant renewable energy resources. Based on the available geographically dispersed data for the Western U.S. (excluding Alaska), we analyze the extent to which the geographic diversity of these resources can offset their variability. First, we determine the best match to loads that ca...

—In this paper, we present a modeling and simulation framework for conducting the adequacy assessment of a wind-integrated power system accounting for the associated uncertainties. A multi-perceptron artificial neural network (NN) is trained by a non-dominated sorting genetic algorithm–II (NSGA-II) to forecast point-values and prediction intervals (PIs) of the wind power and load. The output of...