Usage statistics

Totals for datasets (co-)authored by Edo Abraham

Datasets

• Code underlying: Balancing Operator’s Risk Averseness in Model Predictive Control for Real-time Reservoir Flood Control.
• Code underlying: Flood control of reservoir systems: Learning-based explicit and switched model predictive control approaches
• Codes underlying: Comparison of scenario reduction approaches for reservoir inflow scenarios generated by a Bayesian Neural Network
• Codes underlying: Stochastic Model Predictive Control with Conditional Value-at-Risk Constraints for Short-term Reservoir Flood Control
• Data and Optimisation model for space heating and committed emissions for the built environment
• Data for the paper: Optimal Control for Precision Irrigation of a Large-Scale Plantation
• Input Data Heat Demand Model Passive House Planning Package (PHPP)
• Multi-scale water and energy use model: Workbook accompanying the paper 'The water use of heating pathways to 2050: analysis of national and urban energy scenarios'.

• Heat and carbon emissions model for Amsterdam: Code and datasets accompanying the paper 'Reducing committed emissions of heating towards 2050: Analysis of scenarios for the insulation of buildings and the decarbonisation of electricity generation'

Co-authors

Co-authors of Edo Abraham's datasets/collections. Bold: authors with a 4TU.ResearchData account.

• Andreja Jonoski
• Chelsea Kaandorp
• Dimitri Solomatine
• Ja-Ho Koo
• Jeroen Verhagen
• N.C. (Nick) van de Giesen
• Nick Van de Giesen
• Nick van de Giesen
• Ruud Kassing
• Tes Miedema