Insolation correction method, insolation correction device, recording medium, model, model generating method, and model providing method
AssigneeMitsui Chemicals, Inc.
InventorsShintaro MAEKAWA, Yuji INATOMI, Tsuyoshi SHIODA
Life of this patent
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Abstract
Provided are an insolation correction method, an insolation correction device, a recording medium, a model, a model generating method, and a model providing method in which insolation data having a small deviation from an actually measured value can be provided. An insolation correction method includes: acquiring insolation data; acquiring weather data; and correcting the acquired insolation data, on the basis of the acquired weather data.
Claims17
1-16. (canceled)
An insolation correction method, comprising:
- acquiring insolation data;
- acquiring weather data;
- and
- correcting the acquired insolation data, on the basis of the acquired weather data.
An insolation correction device, comprising:
- a first acquisition unit acquiring insolation data;
- a second acquisition unit acquiring weather data;
- and
- a correction unit correcting the insolation data acquired by the first acquisition unit, on the basis of the weather data acquired by the second acquisition unit.
A computer readable non-transitory recording medium recording a computer program allowing a computer to execute processing of:
- acquiring insolation data;
- acquiring weather data;
- and
- correcting the acquired insolation data, on the basis of the acquired weather data.
A model generated by machine learning with insolation data and weather data as an input variable and insolation data after correction as an output variable.
A model generating method, comprising:
- acquiring insolation data and weather data;
- acquiring insolation data after correction;
- and
- generating a model with the insolation data and the weather data as an input variable and the insolation data after correction as an output variable.
A model providing method, comprising:
- storing a plurality of different models generated by machine learning with insolation data and weather data as an input variable and insolation data after correction as an output variable;
- receiving selection of a required weather information service provider among a plurality of weather information service providers;
- and
- providing a model corresponding to the selected weather information service provider, among the plurality of different models.
Dependencies are inferred from the claim text.