Zoran Kapelan

Orcid: 0000-0002-0934-4470

According to our database1, Zoran Kapelan authored at least 14 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Event-based decision support algorithm for real-time flood forecasting in urban drainage systems using machine learning modelling.
Environ. Model. Softw., September, 2023

2021
Wastewater systems planned maintenance scheduling using multi-objective optimisation.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Dataset of BattLeDIM: Battle of the Leakage Detection and Isolation Methods.
Dataset, September, 2020

2019
Introductory overview: Optimization using evolutionary algorithms and other metaheuristics.
Environ. Model. Softw., 2019

2017
Robust optimization of water infrastructure planning under deep uncertainty using metamodels.
Environ. Model. Softw., 2017

2016
Parameterizing residential water demand pulse models through smart meter readings.
Environ. Model. Softw., 2016

2015
Thematic issue on Evolutionary Algorithms in Water Resources.
Environ. Model. Softw., 2015

A probabilistic methodology for quantifying, diagnosing and reducing model structural and predictive errors in short term water demand forecasting.
Environ. Model. Softw., 2015

A Multi-objective Optimisation Approach to Optimising Water Allocation in Urban Water Systems.
Proceedings of the Harmony Search Algorithm, 2015

2014
MCMC implementation for Bayesian hidden semi-Markov models with illustrative applications.
Stat. Comput., 2014

Adaptive water demand forecasting for near real-time management of smart water distribution systems.
Environ. Model. Softw., 2014

Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions.
Environ. Model. Softw., 2014

2010
Optimization of Sensor Locations for Contaminant Detection in Water Distribution Networks.
Proceedings of the IEEE International Conference on Control Applications, 2010

2009
Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks.
Environ. Model. Softw., 2009


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