Abstract: Disclosed are methods and systems of providing carbon nanotubes decorated with polymer coated metal nanoparticles. Then, annealing the metal coated carbon nanotubes to reduce a quantity of hydrophilic components of the polymer coating.

Abstract: An avian streamer deterrent system includes an electric power line support structure coupled to a plurality of conducting wires. Each conducting wire of the plurality of conducting wires is coupled to an insulator. At least one avian streamer deterrent is disposed above the insulator of at least one of the conducting wires of the plurality of conducting wires. The at least one avian streamer deterrent may be disposed on a that is absent an insulator and situated above the plurality of conducting wires. The at least one avian streamer deterrent or an additional avian streamer deterrent may extend over one or more jumpers coupling at least a first conducting wire of the plurality of conducting wires to a second conducting wire of the plurality of conducting wires. In addition, the at least one avian streamer deterrent may comprise a rotatable configuration or a collapsible configuration.

Abstract: Systems and methods coordinate drone flights in an operating windfarm. A drone flight path that is removed from any location where the drone is conducting observations of a wind turbine and that extends through at least part of a windfarm to a destination location is determined. A respective wake pattern along at least one portion of the drone fight path is determined based on respective operating parameters for each of at least one wind turbine in the windfarm. Flight time commands to adjust at least one respective operating parameter of the respective wind turbine to reduce the effect of the respective wake pattern at a point ahead of the drone on the drone flight path are sent by a windfarm controller controlling the at least one wind turbine.

Abstract: Unmanned monitoring devices, such as unmanned aerial vehicles (UAV), drones or rovers may inspect system components within an area of interest (AOI) such an electric power distribution system including generation, transmission, and distribution elements for autonomous detection of damage to the components. Work orders for repairing the damage are autonomously generated and resources identified within the work orders are autonomously provisioned.

Abstract: Systems and methods coordinate drone flights in an operating windfarm. A drone flight path that is removed from any location where the drone is conducting observations of a wind turbine and that extends through at least part of a windfarm to a destination location is determined. A respective wake pattern along at least one portion of the drone fight path is determined based on respective operating parameters for each of at least one wind turbine in the windfarm. Flight time commands to adjust at least one respective operating parameter of the respective wind turbine to reduce the effect of the respective wake pattern at a point ahead of the drone on the drone flight path are sent by a windfarm controller controlling the at least one wind turbine.

Abstract: Large-scale unmanned monitoring devices, such as unmanned aerial vehicles (UAV), drones or rovers capable of operating within environmental conditions not suitable for human personnel and lesser capable monitoring devices may inspect system components within an area of interest (AOI) such an electric power distribution system including generation, transmission, and distribution elements for autonomous detection of damage to the components. The large-scale unmanned monitoring devices may inspect the system components while the environmental conditions are occurring. Work orders for repairing the damage are autonomously generated and resources identified within the work orders are autonomously provisioned.

Abstract: Systems and methods to label images for inclusion into a machine learning image recognition training data set. A coded labeling definition is defined. A set of digital images is collected that includes images of different types of piece of equipment. A digital image is presented that includes an image of a particular piece of equipment. A received numeric code corresponding to the particular piece of equipment within the present image is received. The received numeric code is associated with the present image and the present image is stored in association with the received numeric code into a machine learning image recognition data set. A machine learning image recognition is trained based on the machine learning image recognition data set to automatically associate unlabeled images with the respective numeric code that corresponds to the particular piece of equipment in the unlabeled image.

Abstract: An avian streamer deterrent system includes an electric power line support structure coupled to a plurality of conducting wires. Each conducting wire of the plurality of conducting wires is coupled to an insulator. At least one avian streamer deterrent is disposed above the insulator of at least one of the conducting wires of the plurality of conducting wires. The at least one avian streamer deterrent may be disposed on a that is absent an insulator and situated above the plurality of conducting wires. The at least one avian streamer deterrent or an additional avian streamer deterrent may extend over one or more jumpers coupling at least a first conducting wire of the plurality of conducting wires to a second conducting wire of the plurality of conducting wires. In addition, the at least one avian streamer deterrent may comprise a rotatable configuration or a collapsible configuration.

Abstract: Systems and methods to label images for inclusion into a machine learning image recognition training data set. A coded labeling definition is defined. A set of digital images is collected that includes images of different types of piece of equipment. A digital image is presented that includes an image of a particular piece of equipment. A received numeric code corresponding to the particular piece of equipment within the present image is received. The received numeric code is associated with the present image and the present image is stored in association with the received numeric code into a machine learning image recognition data set. A machine learning image recognition is trained based on the machine learning image recognition data set to automatically associate unlabeled images with the respective numeric code that corresponds to the particular piece of equipment in the unlabeled image.

Abstract: Large-scale unmanned monitoring devices, such as unmanned aerial vehicles (UAV), drones or rovers capable of operating within environmental conditions not suitable for human personnel and lesser capable monitoring devices may inspect system components within an area of interest (AOI) such an electric power distribution system including generation, transmission, and distribution elements for autonomous detection of damage to the components. The large-scale unmanned monitoring devices may inspect the system components while the environmental conditions are occurring. Work orders for repairing the damage are autonomously generated and resources identified within the work orders are autonomously provisioned.

Abstract: Systems and methods for deterring avian species from approaching a sensitive area. A determination is made that a bird is approaching a sensitive area. A predefined flight path is selected from a plurality of predefined flight paths based on the determination that the bird is approaching the sensitive area. Each of the predefined flight paths of the plurality of predefined flight paths is configured to avoid objects within the sensitive area. An unmanned aerial vehicle is instructed to traverse the predefined flight path that has been selected.

Abstract: Systems and methods to manage a crowd sourced observation program. A plurality of participant cameras are determined where each participant camera is within a threshold distance of a geographic location for observation. An accepting participant camera is selected. Based on selecting the accepting participant camera, a cancellation of the offer is sent to each participant in the plurality of participants other than the accepting participant. Based on selecting the accepting participant camera, the accepting participant camera is instructed to go to the geographic location for image capture. The image capture is received.

Abstract: Unmanned monitoring devices, such as unmanned aerial vehicles (UAV), drones or rovers may survey an area of interest (AOI) such an electric power distribution system including generation, transmission, and distribution elements to automatically determine components in the AOI to be monitored. Types, placements locations, and pathways taken by other unmanned monitoring devices to facilitate the monitoring of the components of the AOI are also automatically determined.

Abstract: Systems and methods to combine line fault location probabilities. A first and second location probability distribution are received for a location of an line fault along an electrical line based upon at least electrical current measurements reported by a first electrical current monitor at a first location and at least a second electrical current measurements reported by a second electrical current monitor at a second location. The second electrical current measurements being made within a time interval of the first electrical current measurements. A composite location probability distribution is determined for the location of the line fault along the electrical line based on an algorithm processing the first location probability distribution and the second location probability distribution. The composite location probability distribution is provided.

Abstract: Systems and methods to combine line fault location probabilities. A first and second location probability distribution are received for a location of an line fault along an electrical line based upon at least electrical current measurements reported by a first electrical current monitor at a first location and at least a second electrical current measurements reported by a second electrical current monitor at a second location. The second electrical current measurements being made within a time interval of the first electrical current measurements. A composite location probability distribution is determined for the location of the line fault along the electrical line based on an algorithm processing the first location probability distribution and the second location probability distribution. The composite location probability distribution is provided.

Abstract: Systems and methods to provide composite fault maps. A first event report is received from a system indicating a first set of location probability distributions of a first event. A second event report is received from a second system that is a different type than the first system indicating a second set of location probability distributions of a second event that is different from the first event. Based upon data in the received reports, the first event is determined to be associated with the second event. A composite fault map is determined that includes composite location likelihood values for the first event and the second event, the composite fault map being determined based on assembling the first set of location probability distributions and the second set of location probability distributions. The the composite fault map is provided to a different process.

Abstract: An outage estimator that generates outage data characterizing a power state for a number of premises serviced by a power grid, the number of premises comprising a first set of the premises and a second set of the premises different from the first set of the premises. The generating includes executing a first stage analysis that estimates the power state for the first set of the premises associated with a set of transformers coupled to a first feeder in the power grid in response to detecting an event message from a smart meter associated with the first set of the premises. The generating also includes executing a second stage analysis that estimates the power state for a second set of premises associated with a set of laterals coupled to a second feeder in the power grid in response to detecting that no event messages have been provided from smart meters associated with the second set of the premises within a predetermined amount of time.

Abstract: Unmanned monitoring devices, such as unmanned aerial vehicles (UAV), drones or rovers may inspect system components within an area of interest (AOI) such an electric power distribution system including generation, transmission, and distribution elements for autonomous detection of damage to the components. Work orders for repairing the damage are autonomously generated and resources identified within the work orders are autonomously provisioned.

Abstract: A nail polish creator is provided. The nail polish creator may include a processor that can receive a selection of the nail polish color from a device communicatively linked with the nail polish creator, such as via a wireless communication. Once the selection is received, the processor may determine an amount of one or more nail polish colors that are needed to create a nail polish corresponding to the selection. The nail polish creator may further include an assembly that may receive a nail polish bottle so that the nail polish bottle is in a position to receive the nail polish that is created based on the amount of the nail polish colors needed to create the nail polish. Moreover, the nail polish creator may include a mixer assembly for mixing the nail polish in the nail polish bottle.

Abstract: Unmanned monitoring devices, such as unmanned aerial vehicles (UAV), drones or rovers may survey an area of interest (AOI) such an electric power distribution system including generation, transmission, and distribution elements to automatically determine components in the AOI to be monitored. Types, placements locations, and pathways taken by other unmanned monitoring devices to facilitate the monitoring of the components of the AOI are also automatically determined.