Wind power generated by wind has non-schedule nature due to stochastic nature of meteorological variable. Hence energy business and control of wind power generation requires prediction of wind speed (WS) from few seconds to different time steps in advance. To deal with prediction shortcomings,...

Natural disaster risk is emerging as an increasingly important constraint on economic development and poverty reduction. This paper first sets out the key stylized facts in the area-that the costs of disaster have been increasing, seem set to continue to increase, and bear especially heavily on...

Each year natural disasters affect about 200 million people and cause about $50 billion in damage. This paper compares the incidence of natural disasters across countries along several dimensions and finds that the relative costs tend to be far higher in developing countries than in advanced...

This paper presents an overview of existing research on wind speed and power forecasting. It first discusses state-of-the-art wind speed and power forecasting approaches. Then, forecasting accuracy is presented based on variable factors. Finally, potential techniques to improve the accuracy of...

This paper presents a comparison of various forecasting approaches, using time series analysis, on mean hourly wind speed data. In addition to the traditional linear (ARMA) models and the commonly used feed forward and recurrent neural networks, other approaches are also examined including the...

Surface wind speed variability cannot be resolved by the current generation of Global Climate Models (GCMs) due to their relatively coarse spatial discretization. Downscaling techniques are thus needed to generate finer scale projections of variables like near surface wind speeds. However,...