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Credit Information in Earnings Calls
We develop a novel technique to extract credit-relevant information from the text of quarterly earnings calls.
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation
In the first stage, disaggregation of the load into fixed and shiftable components is accomplished by means of a hybrid algorithm consisting of non-negative matrix factorization (NMF) and Gaussian mixture models (GMM), with the latter trained by an expectation-maximization (EM) algorithm.
Robust Matrix Completion State Estimation in Distribution Systems
It can estimate the system state in a low-observability system and has robust estimates without the bad data detection process in the face of multiple bad data.
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