A deep reinforcement learning-based method for predictive management of demand response in natural gas pipeline networks
Lin Fan, Huai Su, Enrico Zio, Lixun Chi, Li Zhang, Jing Zhou, Zhe Liu, Jinjun Zhang
Topics & Concepts
Reinforcement learningMarkov decision processNatural gasComputer scienceDynamic pricingVolatility (finance)Pipeline (software)Demand responseArtificial neural networkPipeline transportOperations researchDemand forecastingMathematical optimizationMarkov processArtificial intelligenceEngineeringEconomicsElectricityMicroeconomicsMathematicsFinancial economicsProgramming languageWaste managementElectrical engineeringStatisticsEnvironmental engineeringIntegrated Energy Systems OptimizationSmart Grid Energy ManagementEnergy Efficiency and Management