Showing 1 - 10 of 14
A data-driven approach to optimize the total energy consumption of the HVAC (heating, ventilation, and air conditioning) system in a typical office facility is presented. A multi-layer perceptron ensemble is selected to build the total energy model integrating three indoor air quality models,...
Persistent link: https://www.econbiz.de/10011264374
Persistent link: https://www.econbiz.de/10003904791
Persistent link: https://www.econbiz.de/10011876611
Persistent link: https://www.econbiz.de/10003939507
Persistent link: https://www.econbiz.de/10003974935
Persistent link: https://www.econbiz.de/10011389679
Persistent link: https://www.econbiz.de/10012193504
The paper presents an intelligent wind turbine control system based on models integrating the following three approaches: data mining, model predictive control, and evolutionary computation. To enhance the control strategy of the intelligent system, a multi-objective model is proposed. The model...
Persistent link: https://www.econbiz.de/10010806523
A data-driven approach to the performance analysis of wind turbines is presented. Turbine performance is captured with a power curve. The power curves are constructed using historical wind turbine data. Three power curve models are developed, one by the least squares method and the other by the...
Persistent link: https://www.econbiz.de/10010806815
A data-driven approach for maximization of the power produced by wind turbines is presented. The power optimization objective is accomplished by computing optimal control settings of wind turbines using data mining and evolutionary strategy algorithms. Data mining algorithms identify a...
Persistent link: https://www.econbiz.de/10010807120