A forecast engine is configured to analyze aerial and/or satellite images depicting a geographic area to identify the existence of solar panels within the geographic area at different times. Based on the installation time of each solar panel, the forecast engine estimates the solar power generation capacity of the solar panel. The forecast engine also analyzes meteorological data, including weather forecasts, to estimate a level of insolation at each solar panel within the geographic area across a range of times. The forecast engine can then determine the total amount of solar power generation within the given geographic area at a particular time using the solar power generation capacity of each solar panel and the level of insolation at each solar panel at the particular time.

A supply chain optimization method, system, and computer program product include predicting a risk of a supply chain operation across a supply chain network caused by a term impact analysis of a global hazard, estimating a carbon footprint for the supply chain operation across the supply chain network, generating an alternative resilience plan as an alternative to an existing supply chain plan based on the predicted risk and the estimated carbon footprint.

A supply chain optimization method, system, and computer program product include predicting a risk of a supply chain operation across a supply chain network caused by a term impact analysis of a global hazard, estimating a carbon footprint for the supply chain operation across the supply chain network, generating an alternative resilience plan as an alternative to an existing supply chain plan based on the predicted risk and the estimated carbon footprint.

The present invention generally relates to a system and method for determining characteristics of traveling ionospheric disturbances (TIDs), and more particularly to a method and system for real time mapping of corresponding ionospheric perturbations, where in the case where the amplitude of each wave represents a height change, then the output field is truly a three dimensional representation of the height perturbations of an iso-ionic contour caused by the TIDs.

The present invention generally relates to a system and method for determining characteristics of traveling ionospheric disturbances (TIDs), and more particularly to a method and system for real time mapping of corresponding ionospheric perturbations, where in the case where the amplitude of each wave represents a height change, then the output field is truly a three dimensional representation of the height perturbations of an iso-ionic contour caused by the TIDs.

A predictive method that uses satellite-based nighttime light (NTL) observations as a proxy for power outage data that occurred during a hurricane. The NTL data is provided to a machine learning module along with exploratory variables. The module forecasts hurricane-induced power loss based on the NTL and exploratory variables. The method does not require any data from the utility, making it useful for isolated regions or regions with limited power outage records.

A reanalysis ensemble service includes a plurality of conversion utilities, each conversion utility configured to convert a specific one of a plurality of disparate climate reanalysis datasets from different sources to common format files that are temporally and spatially registered, a data analytics platform for storing and operating on the different sourced common format files, a service interface for mapping service requests to analytic operations performed on the different sourced common format files by the data analytics platform, and a services library that dynamically creates data objects from one or more of the different sourced common format files in response to the analytic operations, and delivers the data objects to the service interface.

A reanalysis ensemble service includes a plurality of conversion utilities, each conversion utility configured to convert a specific one of a plurality of disparate climate reanalysis datasets from different sources to common format files that are temporally and spatially registered, a data analytics platform for storing and operating on the different sourced common format files, a service interface for mapping service requests to analytic operations performed on the different sourced common format files by the data analytics platform, and a services library that dynamically creates data objects from one or more of the different sourced common format files in response to the analytic operations, and delivers the data objects to the service interface.

Embodiments of the present disclosure disclose a method and apparatus for processing a weather alert text, an electronic device, a computer readable storage medium, and a computer program product, relate to the field of artificial intelligence technology such as natural language processing, cloud services, and computer vision. An implementation of the method includes: acquiring a to-be-processed weather alert text; extracting actual weather alert elements from the to-be-processed weather alert text using preset element matching templates, the element matching templates being obtained by clustering from contexts of a sample weather alert elements; and performing normalization processing on the actual weather alert elements, and combining obtained normalized alert elements in a preset order to obtain a key weather alert text. The application of this implementation may improve an accuracy of extracting weather alert elements and a generalization processing capability for various to-be-processed weather alert texts.

Embodiments of the present disclosure disclose a method and apparatus for processing a weather alert text, an electronic device, a computer readable storage medium, and a computer program product, relate to the field of artificial intelligence technology such as natural language processing, cloud services, and computer vision. An implementation of the method includes: acquiring a to-be-processed weather alert text; extracting actual weather alert elements from the to-be-processed weather alert text using preset element matching templates, the element matching templates being obtained by clustering from contexts of a sample weather alert elements; and performing normalization processing on the actual weather alert elements, and combining obtained normalized alert elements in a preset order to obtain a key weather alert text. The application of this implementation may improve an accuracy of extracting weather alert elements and a generalization processing capability for various to-be-processed weather alert texts.