Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.

Abstract: Provided are a control method and a device for active power of a wind power plant cluster. The wind power plant cluster includes wind power plants of m priorities, wherein m is a positive integer. The control method includes: monitoring the consumption capability of a power grid in real time, and determining object active power of the wind power plant cluster according to the consumption capability of the power grid; determining a command active power of the wind power plant within each priority according to the object active power of the wind power plant cluster in a descending order of the priorities; and controlling real active power of the wind power plant within each priority according to the command active power.

Abstract: Provided are a control method and a device for active power of a wind power plant cluster. The wind power plant cluster includes wind power plants of m priorities, wherein m is a positive integer. The control method includes: monitoring the consumption capability of a power grid in real time, and determining object active power of the wind power plant cluster according to the consumption capability of the power grid; determining a command active power of the wind power plant within each priority according to the object active power of the wind power plant cluster in a descending order of the priorities; and controlling real active power of the wind power plant within each priority according to the command active power.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system selects a set of entity keys associated with reference feature values used with one or more machine learning models, wherein the reference feature values are generated in a first environment. Next, the system matches the set of entity keys to feature values from a second environment. The system then compares the feature values and the reference feature values to assess a consistency of a feature across the first and second environments. Finally, the system outputs a result of the assessed consistency for use in managing the feature in the first and second environments.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.