- Energy demand forecasting in seven sectors by an optimization model based on machine learning algorithms. In: Sustainable Cities and Society, v. 95 (August 2023). (2023):
- A Hybrid Model with Applying Machine Learning Algorithms and Optimization Model to Forecast Greenhouse Gas Emissions with Energy Market Data. In: Sustainable Cities and Society, v. 82 (Juli 2022). (2022):
- Integrating energy and water optimization in buildings using multi-objective mixed-integer linear programming. In: Sustainable Cities and Society, v. 62 (November 2020). (2020):