An air-conditioning control device configured to create an indoor environment model of an indoor space in which air-conditioning equipment, a CO 2 sensor, and a humidity sensor are installed, the air-conditioning equipment being configured to condition air, the CO 2 sensor being configured to measure a CO 2 concentration in the indoor space, the humidity sensor being configured to measure an indoor humidity of the indoor space, the indoor environment model comprising a physics model including a heat parameter, a physics model including a moisture parameter, and a physics model including a CO 2 concentration parameter, the air-conditioning control device comprising: - a data storage unit configured to store operation data of the air-conditioning equipment in a learning target period as learning-use input data, and store measurement data measured by the CO 2 sensor and the humidity sensor; and - a model parameter learning unit configured to learn the physics model including heat parameter, the physics model including moisture parameter, and the physics model including CO 2 concentration, in an integrative manner, involving concurrently determining a common parameter, which is common to all of the physics models, and a unique parameter, which is determined for each physics model as a parameter unique to the physics model, by solving all of the plurality of physics models simultaneously and performing convergence calculation with the use of the same design parameters and the same operation parameters, and with use of the learning-use input data and the measurement data stored in the data storage unit. the indoor environment model comprising a physics model including a heat parameter, a physics model including a moisture parameter, and a physics model including a CO 2 concentration parameter, the air-conditioning control device comprising: - a data storage unit configured to store operation data of the air-conditioning equipment in a learning target period as learning-use input data, and store measurement data measured by the CO 2 sensor and the humidity sensor; and - a model parameter learning unit configured to learn the physics model including heat parameter, the physics model including moisture parameter, and the physics model including CO 2 concentration, in an integrative manner, involving concurrently determining a common parameter, which is common to all of the physics models, and a unique parameter, which is determined for each physics model as a parameter unique to the physics model, by solving all of the plurality of physics models simultaneously and performing convergence calculation with the use of the same design parameters and the same operation parameters, and with use of the learning-use input data and the measurement data stored in the data storage unit. - a data storage unit configured to store operation data of the air-conditioning equipment in a learning target period as learning-use input data, and store measurement data measured by the CO 2 sensor and the humidity sensor; and - a model parameter learning unit configured to learn the physics model including heat parameter, the physics model including moisture parameter, and the physics model including CO 2 concentration, in an integrative manner, involving concurrently determining a common parameter, which is common to all of the physics models, and a unique parameter, which is determined for each physics model as a parameter unique to the physics model, by solving all of the plurality of physics models simultaneously and performing convergence calculation with the use of the same design parameters and the same operation parameters, and with use of the learning-use input data and the measurement data stored in the data storage unit.