Disclosed is a method for distinguishing sunny-rainy weather based on time division long-term evolution network, including the following steps: acquiring sunny-rainy feature by extracting communication measurement statistics of time division long-term evolution network base stations in a certain area; establishing a training set according to that observation result of multiple statistical periods, multiple base stations and multiple rain gauges in the region; establishing a sunny-rainy discrimination model combined with machine learning binary classification algorithm, so as to realize the identification of rainfall events covered by a single base station; calculating the reliability of rainfall events at specific locations based on the comprehensive judgment results of multiple base stations.

A method for generating a solar power output forecast for a solar power plant, comprising: using a processor, in a training mode, generating a trained artificial intelligence model using historical output data and historical input data including historical physical subsystem input data and historical physical subsystem forecasts for the solar power plant; in a runtime mode, for a predetermined forecast horizon, applying the trained artificial intelligence model to current input data including current physical subsystem input data and current physical subsystem forecasts for the solar power plant to produce the solar power output forecast; and, presenting the solar power output forecast on a display.

Infrared cloud detector systems and methods for detecting cloud cover conditions.

Infrared cloud detector systems and methods for detecting cloud cover conditions.

A method of determining whether service is needed on a solar array includes gathering current data with regard to current solar array performance and environmental conditions, collecting weather data, accessing a storage for historical performance data, using the current data, weather data and historical data to generate a predicted performance, comparing the predicted performance to the current solar array performance data to determine if service is needed and generate comparison data, and analyzing the comparison data to determine a type of service needed, if service is needed.

A detecting assembly and method for identifying and tracking clouds in a zone of the sky being observed where some thermal-infrared flux emitted the zone is collected and transmitted to a thermal-infrared detector, the detector including a sensor sensitive to the flux in a set band of wavelengths, a measurement of the actual temperature and actual relative humidity of the air at ground level is carried out and the vertical temperature and water vapor distribution is deduced therefrom, the dataset relating to the thermal-infrared signal emitted by a reference sky for the vertical temperature and water vapor distribution is stimulated or obtained, the dataset thus simulated or obtained is subtracted from the dataset measured by the sensor to determine if clouds are present in the zone, and the dataset thus obtained is processed in order to compute the optical thickness and/or altitude of each cloud in the observation area.

The present disclosure generally relates to infrared cloud detector systems and methods for detecting cloud cover conditions. The infrared cloud detector system comprises an infrared sensor, an ambient temperature sensor, and logic. The infrared sensor is configured to measure sky temperature based on infrared radiation received within its field-of-view. The ambient temperature sensor is configured to measure an ambient temperature. And the logic is configured to determine a cloud condition based on a difference between the measured sky temperature and the measured ambient temperature.

The present disclosure generally relates to infrared cloud detector systems and methods for detecting cloud cover conditions. The infrared cloud detector system comprises an infrared sensor, an ambient temperature sensor, and logic. The infrared sensor is configured to measure sky temperature based on infrared radiation received within its field-of-view. The ambient temperature sensor is configured to measure an ambient temperature. And the logic is configured to determine a cloud condition based on a difference between the measured sky temperature and the measured ambient temperature.

Certain aspects pertain to a cloud detector comprising a first detector module directed to a first region of the sky and a second detector module directed to a second region of the sky. Each detector module has a tube enclosing one or more sensing elements. The one or more sensing elements of the first detector module are configured to take weather condition readings from the first region of the sky. The one or more sensing elements of the second detector module are configured to take weather condition readings from the second region of the sky. In one aspect, the cloud detector is configured to detect cloud cover based on these weather condition readings. In some cases, the one or more sensing elements comprise an infrared radiation detector (e.g., thermopile) for measuring infrared radiation intensity and a photosensor element for measuring sunlight intensity.

Certain aspects pertain to a cloud detector comprising a first detector module directed to a first region of the sky and a second detector module directed to a second region of the sky. Each detector module has a tube enclosing one or more sensing elements. The one or more sensing elements of the first detector module are configured to take weather condition readings from the first region of the sky. The one or more sensing elements of the second detector module are configured to take weather condition readings from the second region of the sky. In one aspect, the cloud detector is configured to detect cloud cover based on these weather condition readings. In some cases, the one or more sensing elements comprise an infrared radiation detector (e.g., thermopile) for measuring infrared radiation intensity and a photosensor element for measuring sunlight intensity.