Abstract: The present disclosure relates to a method and apparatus for modeling a photovoltaic power curve, and a computer device and a storage medium thereof. The method includes: acquiring photovoltaic data at various time points within a specified time period; dividing the photovoltaic data at the various time points into at least two photovoltaic data packets; and establishing, according to the respective photovoltaic data of the at least two photovoltaic data packets, packet photovoltaic power curves respectively corresponding to the at least two photovoltaic data packets. By the method, the photovoltaic data is fitted in different time periods during the photovoltaic curve modeling process, thereby reducing the influence of the difference between photoelectric conversion efficiencies in different time periods on photovoltaic curve modeling, and improving the accuracy of photovoltaic curve modeling.

Abstract: The present disclosure relates to a method and apparatus for pushing subscription data in Internet of things. The method includes: parsing a subscription condition set into a first attribute set in response to receiving the subscription condition set; acquiring device data; parsing the device data into a second attribute set; performing Bloom filtering on attribute elements in the second attribute set one by one in a predetermined order by taking an attribute element set in the first attribute set as a filter condition; stopping the Bloom filtering on the other attribute elements in the second attribute set in the case that a Bloom filtering result of one attribute element indicates an occurrence of mismatch; and returning to the step of acquiring the device data.

Abstract: Disclosed is a method for processing an irradiation forecast. The method includes: acquiring irradiation forecast data corresponding to a target time period; calling a stacked generalization model including a first-layer generalizer and a second-layer generalizer; determining, using the first-layer generalizer, intermediate forecast data based on the irradiation forecast data corresponding to the target time period; and determining, using the second-layer generalizer, an output forecast value corresponding to the target time period based on the intermediate forecast data. In a technical solution according to an embodiment of the present disclosure, a method for processing an irradiation forecast is achieved.

Abstract: Disclosed are a method and apparatus for transmitting data in an IoT system. The method includes: determining a data type of device data sent by an IoT device when a connection between a gateway device and a server is abnormal; storing device data of a real-time data type into a first message queue of a message-oriented middleware, and storing device data of a historical data type into a second message queue of the message-oriented middleware; transmuting the device data in the first message queue to a server over a first MQTT channel and transmitting the device data in the second message queue to the server over a second MQTT channel when the connection resumes to a normal state.

Abstract: The present disclosure discloses a method and an apparatus for configuring an alarm rule for an IoT device, and a device and a storage medium thereof, which are applied to the field of IoT. The method includes: configuring at least two groups of alarm rules for a plurality of IoT devices of the same type in an IoT; obtaining n usage categories of the plurality of IoT devices by categorizing the plurality of IoT devices according to usage characteristics of the plurality of IoT devices; calculating a correlation between the at least two groups of the alarm rules and the n usage categories, and storing a corresponding relationship between a target usage category and a target alarm rule whose correlation is higher than a condition; and when an IoT device belonging to the target usage category is newly added, configuring an alarm rule of the newly added IoT device as the target alarm rule.