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Chance‐constrained operation of the water‐energy nexus with conflicting objectives
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Optimization Models for the Natural Gas Value Chain
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Variations and extension of the convex–concave procedure
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The vulnerability of thermoelectric power generation to water scarcity in China: Current status and future scenarios for power planning and climate change
inferredcites →https://doi.org/10.1016/j.apenergy.2016.08.139openalex-snapshot
Optimal dispatch strategy for integrated energy systems with CCHP and wind power
inferredcites →https://doi.org/10.1016/j.apenergy.2017.10.019openalex-snapshot
Powering an island system by renewable energy—A feasibility analysis in the Maldives
inferredcites →https://doi.org/10.1016/j.apenergy.2019.113420openalex-snapshot
Distributionally-robust chance constrained and interval optimization for integrated electricity and natural gas systems optimal power flow with wind uncertainties
inferredcites →https://doi.org/10.1016/j.camwa.2011.11.057openalex-snapshot
Comparison of multi-objective optimization methodologies for engineering applications
inferredcites →https://doi.org/10.1016/j.enbuild.2004.07.009openalex-snapshot
Modeling radiant heating and cooling systems: integration with a whole-building simulation program
inferredcites →https://doi.org/10.1016/j.energy.2013.10.067openalex-snapshot
Modelling and operation optimization of an integrated energy based direct district water-heating system
inferredcites →https://doi.org/10.1016/j.energy.2017.01.071openalex-snapshot
Multi-objective optimal power flow based on improved strength Pareto evolutionary algorithm
inferredcites →https://doi.org/10.1016/j.energy.2019.05.185openalex-snapshot
Development of an interval-credibility-chance constrained energy-water nexus system planning model—a case study of Xiamen, China
inferredcites →https://doi.org/10.1016/j.ijepes.2014.01.025openalex-snapshot
An affine arithmetic-based algorithm for radial distribution system power flow with uncertainties
inferredcites →https://doi.org/10.1016/j.ijepes.2015.07.007openalex-snapshot
Multi-objective design under uncertainties of hybrid renewable energy system using NSGA-II and chance constrained programming
inferredcites →https://doi.org/10.1088/1748-9326/7/4/045801openalex-snapshot
Can switching fuels save water? A life cycle quantification of freshwater consumption for Texas coal- and natural gas-fired electricity
inferredcites →https://doi.org/10.1109/mele.2018.2816842openalex-snapshot
Integrated Energy Management System: Concept, Design, and Demonstration in China
inferredcites →https://doi.org/10.1109/tcns.2018.2889001openalex-snapshot
Micro Water–Energy Nexus: Optimal Demand-Side Management and Quasi-Convex Hull Relaxation
inferredcites →https://doi.org/10.1109/tdc.2003.1335039openalex-snapshot
2003 IEEE PES Transmission and Distribution Conference and Exposition (IEEE Cat. No.03CH37495)
inferredcites →https://doi.org/10.1109/tpwrs.2008.926719openalex-snapshot
Security-Constrained Unit Commitment With Volatile Wind Power Generation
inferredcites →https://doi.org/10.1109/tpwrs.2011.2169817openalex-snapshot
Robust Unit Commitment With Wind Power and Pumped Storage Hydro
inferredcites →https://doi.org/10.1109/tpwrs.2014.2372013openalex-snapshot
Integrated Power and Natural Gas Model for Energy Adequacy in Short-Term Operation
inferredcites →https://doi.org/10.1109/tpwrs.2015.2499753openalex-snapshot
A Robust Approach to Chance Constrained Optimal Power Flow With Renewable Generation
inferredcites →https://doi.org/10.1109/tpwrs.2016.2521322openalex-snapshot
Convexification of the Nash Bargaining Based Environmental-Economic Dispatch
inferredcites →https://doi.org/10.1109/tpwrs.2016.2572104openalex-snapshot
Distributionally Robust Chance-Constrained Optimal Power Flow with Uncertain Renewables and Uncertain Reserves Provided by Loads
inferredcites →https://doi.org/10.1109/tpwrs.2017.2672750openalex-snapshot
Chance-Constrained Economic Dispatch With Non-Gaussian Correlated Wind Power Uncertainty
inferredcites →https://doi.org/10.1109/tpwrs.2019.2907170openalex-snapshot
Distributionally Robust Scheduling of Integrated Gas-Electricity Systems With Demand Response
inferredcites →https://doi.org/10.1109/tsg.2018.2849619openalex-snapshot
Modeling the Operation Mechanism of Combined P2G and Gas-Fired Plant With CO2 Recycling
inferredcites →https://doi.org/10.1109/tste.2015.2424885openalex-snapshot
Integrated Modeling and Assessment of the Operational Impact of Power-to-Gas (P2G) on Electrical and Gas Transmission Networks
inferredcites →https://doi.org/10.1109/tste.2015.2467383openalex-snapshot
Combined Heat and Power Dispatch Considering Pipeline Energy Storage of District Heating Network
inferredcites →https://doi.org/10.1109/tste.2015.2500571openalex-snapshot
Transmission-Constrained Unit Commitment Considering Combined Electricity and District Heating Networks
inferredcites →https://doi.org/10.1109/tste.2016.2615104openalex-snapshot
Robust Co-Optimization Scheduling of Electricity and Natural Gas Systems via ADMM
inferredcites →https://doi.org/10.1109/tste.2017.2771954openalex-snapshot
Convex Optimization Based Distributed Optimal Gas-Power Flow Calculation
inferredcites →https://doi.org/10.1109/tste.2018.2843121openalex-snapshot
Day-Ahead Dispatch of Integrated Electricity and Natural Gas System Considering Reserve Scheduling and Renewable Uncertainties
inferredcites →https://doi.org/10.23919/pscc.2018.8442617openalex-snapshot
Power Systems Flexibility from District Heating Networks
What points at this work
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inferred← citeshttps://doi.org/10.1016/j.epsr.2024.110599openalex-snapshot
Chance constrained optimal power-water flow: An iterative algorithm assisted by deep neural networks
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