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    Chapter and Conference Paper

    Residential Short-Term Load Forecasting via Meta Learning and Domain Augmentation

    With the increasing adoption of electric devices and renewable energy generation, electric load forecasting, especially short-term load forecasting (STLF), has recently attracted more attention. Accurate short...

    Di Wu, Can Cui, Benoit Boulet in Artificial Intelligence for Knowledge Mana… (2022)

  2. Chapter and Conference Paper

    Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting

    Accurate electricity load forecasting is of crucial importance for power system operation and smart grid energy management. Different factors, such as weather conditions, lagged values, and day types may affec...

    Di Wu, Boyu Wang, Doina Precup in Machine Learning and Knowledge Discovery i… (2017)

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    Chapter and Conference Paper

    Evaluation of a Technique to Estimate the Compliance of Atherosclerotic Intima

    We report evaluation of a technique that may be applied to estimate the compliance of atherosclerotic intima. This estimation can help in identification of the type of plaque. It can also be applied in our fin...

    Hamed Azarnoush, Guy Lamouche, Charles-Etienne Bisaillon in Biomedical Simulation (2010)