Optimizing Smart Energy Hub Operation by Reinforcement Learning Approach, M.Sc. Thesis Sharif University of Technology ; Ranjbar, Ali Mohammad (Supervisor)
Abstract
Nowadays, demands increment is one of the greatest concerns of energy systems operators. Consequently, enhancing the efficiency of consumption is an inevitable goal, which leads us to a concept named as energy hub (EH). In a simple definition, an EH is a multi-generation system where different energy carriers are converted and stored by various devices such as combined cooling, heating and power (CCHP), battery, and boiler to meet the load demands. In addition, with advent of smart grids (SG), demand side management (DSM) becomes one of the effective techniques with significant role in optimizing energy systems performance. DSM commonly refers to methods implemented by utility companies to...
Cataloging briefOptimizing Smart Energy Hub Operation by Reinforcement Learning Approach, M.Sc. Thesis Sharif University of Technology ; Ranjbar, Ali Mohammad (Supervisor)
Abstract
Nowadays, demands increment is one of the greatest concerns of energy systems operators. Consequently, enhancing the efficiency of consumption is an inevitable goal, which leads us to a concept named as energy hub (EH). In a simple definition, an EH is a multi-generation system where different energy carriers are converted and stored by various devices such as combined cooling, heating and power (CCHP), battery, and boiler to meet the load demands. In addition, with advent of smart grids (SG), demand side management (DSM) becomes one of the effective techniques with significant role in optimizing energy systems performance. DSM commonly refers to methods implemented by utility companies to...
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