Forecasting from incomplete and chaotic wind speed data
Forecasting from incomplete and chaotic wind speed data is a scholarly work, published in 2018 in ''Soft Computing''. The main subjects of the publication include Chaotic, data mining, electricity market, wind speed, artificial intelligence, hydrological model, artificial neural network, process, missing data, series, variable, machine learning, market forecast, meteorology, time series, and computer science. The paper proposes a technique that uses an Artificial Neural Network and k-Nearest Neighbors for reconstructing and forecasting an incomplete and chaotic time series.