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An identification algorithm of switched Box-Jenkins systems in the presence of bounded disturbances
An identification algorithm of switched Box-Jenkins systems in the presence of bounded disturbances: An approach for approximating complex biological wastewater treatment models
A stochastic MPC framework for the control of pumping stations in polder systems with regard for uncertainty in inflow and hourly electricity prices
A stochastic MPC framework for the control of pumping stations in polder systems with regard for uncertainty in inflow and hourly electricity prices
Enhancing water access monitoring through mapping multi-source usage and disaggregated geographic inequalities with machine learning and surveys
Enhancing water access monitoring through mapping multi-source usage and disaggregated geographic inequalities with machine learning and surveys
‘Commoning practices’ for energy justice? Perspectives on the heat transition in the city of Amsterdam
‘Commoning practices’ for energy justice? Perspectives on the heat transition in the city of Amsterdam
Closed-loop simulation testing of a probabilistic DR framework for Day Ahead Market participation applied to Battery Energy Storage Systems
Closed-loop simulation testing of a probabilistic DR framework for Day Ahead Market participation applied to Battery Energy Storage Systems
A Dynamic Object Removal and Reconstruction Algorithm for Point Clouds
A Dynamic Object Removal and Reconstruction Algorithm for Point Clouds
A novel mechanistic modelling approach for microbial selection dynamics
A novel mechanistic modelling approach for microbial selection dynamics: Towards improved design and control of raceway reactors for purple bacteria
Models and methods for hybrid system identification
Models and methods for hybrid system identification: a systematic survey
Integrated assessment of renewable urban heating systems considering water use, committed emissions and energy justice
Integrated assessment of renewable urban heating systems considering water use, committed emissions and energy justice
Africa needs context-relevant evidence to shape its clean energy future
Africa needs context-relevant evidence to shape its clean energy future
Probabilistic forecasting and scenario generation of pumped discharge in polder systems
Probabilistic forecasting and scenario generation of pumped discharge in polder systems
Nonlinear model predictive control of salinity and water level in polder networks
Nonlinear model predictive control of salinity and water level in polder networks: Case study of Lissertocht catchment
Pressure-Leak Duality for Leak Detection and Localization in Water Distribution Systems
Pressure-Leak Duality for Leak Detection and Localization in Water Distribution Systems
Identification of a Disease-Associated Network of Intestinal Immune Cells in Treatment-Naive Inflammatory Bowel Disease
Identification of a Disease-Associated Network of Intestinal Immune Cells in Treatment-Naive Inflammatory Bowel Disease
Reducing committed emissions of heating towards 2050: Analysis of scenarios for the insulation of buildings and the decarbonisation of electricity generation
Reducing committed emissions of heating towards 2050: Analysis of scenarios for the insulation of buildings and the decarbonisation of electricity generation
A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks
A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks
Correlative light and electron microscopy reveals fork-shaped structures at actin entry sites of focal adhesions
Correlative light and electron microscopy reveals fork-shaped structures at actin entry sites of focal adhesions
Emerging Themes and Future Directions of Multi-Sector Nexus Research and Implementation
Emerging Themes and Future Directions of Multi-Sector Nexus Research and Implementation
Day Ahead Market price scenario generation using a Combined Quantile Regression Deep Neural Network and a Non-parametric Bayesian Network
Day Ahead Market price scenario generation using a Combined Quantile Regression Deep Neural Network and a Non-parametric Bayesian Network: A framework for risk-based Demand Response
Multi-market demand response from pump-controlled open canal systems: an economic MPC approach to pump-scheduling
Multi-market demand response from pump-controlled open canal systems: an economic MPC approach to pump-scheduling
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