Thanasarn Changnawa

Assessment of LSTM in sub-hourly urban-microclimate temperature forecasting: The case for specific model selection

Near-surface urban temperature can rise by more than 0.5 °C in ten minutes around sunrise, when heat-stress risk builds fastest, yet forecasts for this setting are rarely evaluated by how their accuracy varies through the day. We benchmark a Long Short-Term Memory (LSTM) network against five baselines for one-step-ahea...