Mingju Gong
- (2023): A hybrid energy-saving prediction model based on SSA-DNN for district heating system. In: Advances in Building Energy Research, v. 17, n. 1 (2 January 2023).
- (2022): A hybrid deep reinforcement learning ensemble optimization model for heat load energy-saving prediction. In: Journal of Building Engineering, v. 58 (October 2022).
- (2019): District heating systems load forecasting: a deep neural networks model based on similar day approach. In: Advances in Building Energy Research, v. 14, n. 3 (August 2019).
- (2020): Heat load prediction of residential buildings based on discrete wavelet transform and tree-based ensemble learning. In: Journal of Building Engineering, v. 32 (November 2020).
- (2020): Gradient boosting machine for predicting return temperature of district heating system: A case study for residential buildings in Tianjin. In: Journal of Building Engineering, v. 27 (January 2020).
Structurae cooperates with
