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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...
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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...
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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...