Abstract: Correlated sets of historical meteorological data and terrain data are obtained for at least one geographical area. A data model is derived based on the basis of the correlated sets, by training the data model. The trained data model is adapted to identify coherence between meteorological data and terrain data relating to the same geographical area. Meteorological data and terrain data related to the renewable energy site are fed to the trained data model, the terrain data having a higher resolution than the meteorological data. Using the trained model, meteorological data related to the renewable energy site with increased resolution is estimated by downscaling the meteorological data. The estimated meteorological data with increased resolution for the renewable energy site is then used for planning a layout of the renewable energy site.

Abstract: A method for forecasting power production of at least one wind turbine, the wind turbine forming part of a wind farm arranged at a site. Global weather forecast data is received at a central data centre. A site specific forecast is then generated at the central data centre, based on the global weather forecast data. The site specific forecast from the central data centre is sent to a local data centre, e.g. arranged at the site of the wind farm. Site specific data is received at the local data centre and comprises site specific weather data and/or site specific wind turbine data measured at the site. The site specific forecast is then updated at the local data centre, using the site specific data. Finally, a power production forecast of the at least one wind turbine is generated based on the updated site specific forecast.

Abstract: A control system for one or more wind turbines comprising an RF receiver used as a method for adaptively controlling the noise mode of operation of a wind turbine. Preferably, this involves multilateration to determine location of RF sources near wind turbindes of a wind turbine park. The RF receivers would detect nearby RF signals in multiple spectrums, in particular mobile telecommunication signals (GSM/UMTS), to identify and localize RF sources near to the wind turbine(s). This information is then be processed to identify which RF sources are likely to be linked to a real person near the wind turbine, and this can be used to adjust the noise mode of the wind turbine accordingly. Thereby maximizing energy production from the wind turbine in absence of nearby people, while keeping noise low when people are nearby.

Abstract: A method of determining respective spatial configurations, indicative of respective positions and orientations, of a plurality of transducers attached to a target object, comprises receiving sensor signals from each transducer. The sensor signals are indicative of respective movements of the respective transducers during an induced movement of the target object. The method includes determining the spatial configurations of the transducers that comprise a first and second subset of transducers. The determining of the spatial configurations of the plurality of transducers comprises (i) obtaining the spatial configurations of the first subset of transducers, and (ii) determining the spatial configurations of the second subset of transducers from the received sensor signals and from the obtained spatial configurations of the first subset of transducers.

Abstract: A method for forecasting power production of at least one wind turbine, the wind turbine forming part of a wind farm arranged at a site. Global weather forecast data is received at a central data centre. A site specific forecast is then generated at the central data centre, based on the global weather forecast data. The site specific forecast from the central data centre is sent to a local data centre, e.g. arranged at the site of the wind farm. Site specific data is received at the local data centre and comprises site specific weather data and/or site specific wind turbine data measured at the site. The site specific forecast is then updated at the local data centre, using the site specific data. Finally, a power production forecast of the at least one wind turbine is generated based on the updated site specific forecast.

Abstract: One aspect of the present disclosure relates to a computer-implemented method of determining respective spatial configurations, including respective positions, of a plurality of transducers attached to a target object; the method comprising: receiving sensor signals from each of the plurality of transducers, the sensor signals being indicative of respective movements of the respective transducers during an induced movement of the target object; determining the spatial configurations of the plurality of transducers; wherein the spatial configurations, including the positions relative to the target object, of at least a subset of the transducers are determined based on the received sensor signals.

Abstract: A method, controller, wind turbine, and computer program product are disclosed for processing and analyzing wind turbine operational data in a distributed data analysis system. An example method generally includes obtaining, at a first data analysis system, operational data from a plurality of wind turbines in a first wind power plant, determining adjustments to wind turbine operational parameters based on the operational data, pushing the adjustments to the first wind power plant, transmitting the operational data to a second data analysis system not located at the first wind power plant, and transmitting the operational data from the first wind power plant and at least a second wind power plant to a third data analysis system, wherein the third data analysis system comprises a global data analysis system.

Abstract: A method, controller, wind turbine, and computer program product are disclosed for collecting data from wind turbines in a wind farm. An example method generally includes receiving, from a client device, a subscription request identifying a plurality of data points to collect from a set of wind turbines. A wind farm server establishes a client interface with the client device. The wind farm server receives data points form the plurality of wind turbines and buffers the identified collected data points from the set of wind turbines in a data repository. Through the client interface, the wind farm server receives a request for data points collected from at least one wind turbine over a specified time period, and responsive to the request, transmits the requested data points to the client device. The wind farm server also may push collected data points from wind turbines to a data analysis system.

Abstract: One aspect of the invention relates to a method of detecting a spatial orientation of a transducer by a handheld optical scanning device. The method comprises steps of providing a first spatial orientation feature on at least a first outer housing surface of the transducer and arranging a handheld optical scanning device in a sightline of the first spatial orientation feature at a selected spatial orientation relative to the first outer surface of the transducer housing. The method comprises further steps of identifying the first spatial orientation feature, detecting a spatial orientation of the handheld scanning device in a predetermined coordinate reference system and determining a spatial orientation of the transducer in the predetermined coordinate reference system.

Abstract: A method, controller, wind turbine, and computer program product are disclosed for processing and analyzing wind turbine operational data in a distributed data analysis system. An example method generally includes obtaining, at a first data analysis system, operational data from a plurality of wind turbines in a first wind power plant, determining adjustments to wind turbine operational parameters based on the operational data, pushing the adjustments to the first wind power plant, transmitting the operational data to a second data analysis system not located at the first wind power plant, and transmitting the operational data from the first wind power plant and at least a second wind power plant to a third data analysis system, wherein the third data analysis system comprises a global data analysis system.

Abstract: A control system for one or more wind turbines comprising an RF receiver used as a method for adaptively controlling the noise mode of operation of a wind turbine. Preferably, this involves multilateration to determine location of RF sources near wind turbindes of a wind turbine park. The RF receivers would detect nearby RF signals in multiple spectrums, in particular mobile telecommunication signals (GSM/UMTS), to identify and localize RF sources near to the wind turbine(s). This information is then be processed to identify which RF sources are likely to be linked to a real person near the wind turbine, and this can be used to adjust the noise mode of the wind turbine accordingly. Thereby maximizing energy production from the wind turbine in absence of nearby people, while keeping noise low when people are nearby.

Abstract: A method, controller, wind turbine, and computer program product are disclosed for collecting data from wind turbines in a wind farm. An example method generally includes receiving, from a client device, a subscription request identifying a plurality of data points to collect from a set of wind turbines. A wind farm server establishes a client interface with the client device. The wind farm server receives data points form the plurality of wind turbines and buffers the identified collected data points from the set of wind turbines in a data repository. Through the client interface, the wind farm server receives a request for data points collected from at least one wind turbine over a specified time period, and responsive to the request, transmits the requested data points to the client device. The wind farm server also may push collected data points from wind turbines to a data analysis system.

Abstract: One aspect of the invention relates to a method of detecting a spatial orientation of a transducer by a handheld optical scanning device. The method comprises steps of providing a first spatial orientation feature on at least a first outer housing surface of the transducer and arranging a handheld optical scanning device in a sightline of the first spatial orientation feature at a selected spatial orientation relative to the first outer surface of the transducer housing. The method comprises further steps of identifying the first spatial orientation feature, detecting a spatial orientation of the handheld scanning device in a predetermined coordinate reference system and determining a spatial orientation of the transducer in the predetermined coordinate reference system.