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Stochastic Energy Management with CES by Georgi Shipkovenski is a document available to read on EtoBox.
This research presents a stochastic optimization model for transactive energy management using cloud energy storage (CES) and artificial neural networks to address uncertainties in residential energy consumption. The model aims to maximize CES owner revenue while minimizing customer costs by coordinating energy trading among residential buildings in a transactive energy market. The study highlights the advantages of shared energy storage systems over individual units and proposes a distributed optimization
- Author
- Georgi Shipkovenski
- Language
- EN