- Advancing Nodal Leakage Estimation in Decentralized Water Networks: Integrating Bayesian Optimization, Realistic Hydraulic Modeling, and Data-Driven Approaches. In: Sustainable Cities and Society, v. 112 (October 2024). (2024):
- An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: employing the DBSCAN and time series complexity. In: Sustainable Cities and Society, v. 94 (July 2023). (2023):
- Developing a framework for leakage target setting in water distribution networks from an economic perspective. In: Structure and Infrastructure Engineering, v. 17, n. 6 (August 2021). (2021):