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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
Robust Design of 2nd Order Terminal ILC Using μ-Analysis and a Genetic Algorithm Approach
In the thermoforming industry, the heater temperature setpoints can be automatically tuned with Terminal Iterative Learning Control (TILC). This cycle-to-cycle control is used to adjust the heater temperature ...
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Chapter and Conference Paper
Closed-Loop Control of Plasma Osmolality
In this paper, a closed-loop system to regulate plasma osmolality in patients with central diabetes insipidus is investigated. Using model identification techniques, we obtained a 3 rd ...