Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137945
Title: Building software agents for power trading agent competition
Authors: Goh, Wen Long
Keywords: Engineering::Computer science and engineering
Issue Date: 2020
Publisher: Nanyang Technological University
Project: SCSE19-0518
Abstract: Traditional grids have been used to distributed electricity to the consumers, however the electric supply is steadily becoming unstable as the electricity demand increases. Hence, this issue brings the need of a smart grid due to its ability to tackle this issue. The role of the smart grid is to be able to shift electricity consumption with various methods implemented by the agent. This paper will discuss on the role of the agent in the context of the smart grid, how the agent uses reinforcement learning for decision making, and how reinforcement learning is implemented.
URI: https://hdl.handle.net/10356/137945
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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