Abstract: This paper introduces a wind power prediction method based on LSTM neural network. The method uses principal component analysis (PCA) to downscale climate data, and then uses wavelet ...

Abstract: One of the most challenging issues in the world of data science and machine learning is time series forecasting. A set of continuous variables must be predicted over a range of time ...

Large Language Model (LLM) agents often need to interact with and validate data. Great Expectations is a powerful open-source tool for data quality, but it's not natively accessible to LLM agents.