Stochastic multi-carrier energy management in the smart islands using reinforcement learning and unscented transform

[1]  Peng Wang,et al.  Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands , 2020 .

[2]  Shahram Jadid,et al.  Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system , 2015 .

[3]  Behnam Mohammadi-Ivatloo,et al.  Stochastic risk-constrained scheduling of smart energy hub in the presence of wind power and demand response , 2017 .

[4]  Heba M. Abdullah,et al.  Modeling and Experimental Investigation of Solar Stills for Enhancing Water Desalination Process , 2020, IEEE Access.

[5]  Jean-Louis Scartezzini,et al.  Introducing reinforcement learning to the energy system design process , 2020 .

[6]  K. Jermsittiparsert,et al.  An Advanced Machine Learning Based Energy Management of Renewable Microgrids Considering Hybrid Electric Vehicles’ Charging Demand , 2021, Energies.

[7]  Kazem Zare,et al.  Optimal scheduling of heating and power hubs under economic and environment issues in the presence of peak load management , 2018 .

[8]  Mohammed A. El-Meligy,et al.  A novel fuzzy cloud stochastic framework for energy management of renewable microgrids based on maximum deployment of electric vehicles , 2021, International Journal of Electrical Power & Energy Systems.

[9]  Wencong Su,et al.  An effective stochastic framework for smart coordinated operation of wind park and energy storage unit , 2020 .

[10]  Luca Moretti,et al.  Assessing the impact of a two-layer predictive dispatch algorithm on design and operation of off-grid hybrid microgrids , 2019 .

[11]  Hassan Barati,et al.  Probabilistic optimization in operation of energy hub with participation of renewable energy resources and demand response , 2019, Energy.

[12]  Raymond R. Tan,et al.  Optimal Operational Adjustment of a Community-Based Off-Grid Polygeneration Plant using a Fuzzy Mixed Integer Linear Programming Model , 2019 .

[13]  Shady Gadoue,et al.  Reinforcement learning based adaptive power pinch analysis for energy management of stand-alone hybrid energy storage systems considering uncertainty , 2020, Energy.

[14]  Mohamed A. Mohamed,et al.  Optimal Scheduling and Management of a Smart City Within the Safe Framework , 2020, IEEE Access.

[15]  Behnam Mohammadi-Ivatloo,et al.  Enhancement of demand supply’s security using power to gas technology in networked energy hubs , 2019, International Journal of Electrical Power & Energy Systems.

[16]  Ziad M. Ali,et al.  A Secured Energy Management Architecture for Smart Hybrid Microgrids Considering PEM-Fuel Cell and Electric Vehicles , 2020, IEEE Access.

[17]  Michele De Carli,et al.  A heat pump coupled with photovoltaic thermal hybrid solar collectors: A case study of a multi-source energy system , 2017 .

[18]  Abdollah Kavousi-Fard,et al.  On the assessment of the impact of a price-maker energy storage unit on the operation of power system: The ISO point of view , 2020 .

[19]  Amin Safari,et al.  Optimal sizing of combined heat and power generation units using of MPSO in the Besat Industrial Zone , 2016 .

[20]  Kazem Zare,et al.  Integration of Smart Energy Hubs in Distribution Networks Under Uncertainties and Demand Response Concept , 2019, IEEE Transactions on Power Systems.

[21]  Jafar Adabi,et al.  A hierarchical energy management system for multiple home energy hubs in neighborhood grids , 2020 .

[22]  Ameena Saad Al-Sumaiti,et al.  Towards Energy Management Negotiation Between Distributed AC/DC Networks , 2020, IEEE Access.

[23]  F. Ochs,et al.  Techno-economic planning and construction of cost-effective large-scale hot water thermal energy storage for Renewable District heating systems , 2020 .

[24]  Taher Niknam,et al.  A scenario-based approach for the design of Smart Energy and Water Hub , 2020 .

[25]  Mir Hadi Athari,et al.  Stochastic Cascading Failure Model With Uncertain Generation Using Unscented Transform , 2020, IEEE Transactions on Sustainable Energy.

[26]  John S. Anagnostopoulos,et al.  Investigating the role of local pumped-hydro energy storage in interconnected island grids with high wind power generation , 2017 .

[27]  Ali Mohammad Ranjbar,et al.  Optimising operational cost of a smart energy hub, the reinforcement learning approach , 2015, Int. J. Parallel Emergent Distributed Syst..

[28]  Ziad M. Ali,et al.  A two-stage stochastic framework for effective management of multiple energy carriers , 2020 .

[29]  Ziad M. Ali,et al.  Optimal scheduling of reconfigurable grids considering dynamic line rating constraint , 2020, IET Generation, Transmission & Distribution.

[30]  Ziad M. Ali,et al.  Stochastic and distributed scheduling of shipboard power systems using MθFOA-ADMM , 2020 .

[31]  Junwei Cao,et al.  Optimal energy management strategies for energy Internet via deep reinforcement learning approach , 2019, Applied Energy.

[32]  Wencong Su,et al.  Multi-agent energy management of smart islands using primal-dual method of multipliers , 2020 .

[33]  Behnam Mohammadi-Ivatloo,et al.  Optimal Stochastic Design of Wind Integrated Energy Hub , 2017, IEEE Transactions on Industrial Informatics.

[34]  Ali Mohammad Ranjbar,et al.  A scenario-based optimization of Smart Energy Hub operation in a stochastic environment using conditional-value-at-risk , 2018 .

[35]  Ziad M. Ali,et al.  Towards distributed based energy transaction in a clean smart island , 2020 .

[36]  Edoardo Amaldi,et al.  A detailed MILP optimization model for combined cooling, heat and power system operation planning , 2014 .