Abstract: A method implemented using at least one processor module includes receiving a plurality of operational parameters corresponding to a plurality of wind turbines and obtaining a plurality of source sound power values corresponding to the plurality of wind turbines. The method further includes obtaining a receptor sound pressure value corresponding to a receptor location and estimating an attenuation model based on the plurality of source sound power values, and the receptor sound pressure value. The attenuation model disclosed herein comprises a plurality of attenuation coefficients. The method also includes determining at least one turbine set-point corresponding to at least one wind turbine among the plurality of wind turbines based on the plurality of attenuation coefficients, and the plurality of turbine operational parameters.

Abstract: A method of prioritizing arrhythmia alarms based on one patient's perfusion level includes receiving arterial blood pressure, electrocardiogram heart rate, and arterial pulse rate values of the one patient during a same time window. Analyzing the set of blood pressure values to determine if an arrhythmia event is indicated, where if an arrhythmia event is indicated, the method includes calculating a systolic blood pressure (SBP) ratio, comparing the SBP ratio to a first predetermined threshold, and if the SBP ratio is less than or equal to the first predetermined threshold, then activating a non-perfusion alarm. If the SBP ratio is greater than the first predetermined threshold, then calculating a standard deviation of a rate differential between the heart rate and the pulse rate values, and if the standard deviation is greater than a second predetermined threshold, then activating the non-perfusion alarm. A system and non-transitory computer media is also presented.

Abstract: Embodiments of methods and systems for optimizing operation of a wind farm are presented. The method includes receiving new values corresponding to at least some wake parameters for wind turbines in the wind farm. The method further includes identifying new sets of interacting wind turbines from the wind turbines based on the new values. Additionally, the method includes developing a farm-level predictive wake model for the new sets of interacting wind turbines based on the new values and historical wake models determined using historical values of the wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Furthermore, the method includes adjusting one or more control settings for at least the new sets of interacting wind turbines based on the farm-level predictive wake model.

Abstract: A method implemented using at least one processor module includes receiving a plurality of operational parameters corresponding to a plurality of wind turbines and obtaining a plurality of source sound power values corresponding to the plurality of wind turbines. The method further includes obtaining a receptor sound pressure value corresponding to a receptor location and estimating an attenuation model based on the plurality of source sound power values, and the receptor sound pressure value. The attenuation model disclosed herein comprises a plurality of attenuation coefficients. The method also includes determining at least one turbine set-point corresponding to at least one wind turbine among the plurality of wind turbines based on the plurality of attenuation coefficients, and the plurality of turbine operational parameters.

Abstract: A method includes providing a corpus of text, and using suffix manipulation to obtain a stem for at least some tokens in the corpus. The method also includes using the respective stem for each token of the at least some tokens to form groups of the at least some tokens. In addition, the method includes using the groups of tokens to select lemmas for at least some of the tokens in the groups of tokens.

Abstract: Embodiments of methods and systems for optimizing operation of a wind farm are presented. The method includes receiving new values corresponding to at least some wake parameters for wind turbines in the wind farm. The method further includes identifying new sets of interacting wind turbines from the wind turbines based on the new values. Additionally, the method includes developing a farm-level predictive wake model for the new sets of interacting wind turbines based on the new values and historical wake models determined using historical values of the wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Furthermore, the method includes adjusting one or more control settings for at least the new sets of interacting wind turbines based on the farm-level predictive wake model.

Abstract: A method of prioritizing arrhythmia alarms based on one patient's perfusion level includes receiving arterial blood pressure, electrocardiogram heart rate, and arterial pulse rate values of the one patient during a same time window. Analysing the set of blood pressure values to determine if an arrhythmia event is indicated, where if an arrhythmia event is indicated, the method includes calculating a systolic blood pressure (SBP) ratio, comparing the SBP ratio to a first predetermined threshold, and if the SBP ratio is less than or equal to the first predetermined threshold, then activating a non-perfusion alarm. If the SBP ratio is greater than the first predetermined threshold, then calculating a standard deviation of a rate differential between the heart rate and the pulse rate values, and if the standard deviation is greater than a second predetermined threshold, then activating the non-perfusion alarm. A system and non-transitory computer media is also presented.