A deep learning model to forecast cattle heat stress

•Deep learning model trained on autonomous data effectively forecast cattle heat stress.•Four to five days of lagged climate data was optimal for input to the model.•Lagged solar radiation, relative humidity and ambient temperature drove heat response.•Accumulated heat load was not an effective model of the lagged effect of climate.