Building software agents for power trading agent competition
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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2020
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/137945 |
| _version_ | 1811680557907574784 |
|---|---|
| author | Goh, Wen Long |
| author2 | Bo An |
| author_facet | Bo An Goh, Wen Long |
| author_sort | Goh, Wen Long |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:26:57Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/137945 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:26:57Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1379452020-04-20T05:55:09Z Building software agents for power trading agent competition Goh, Wen Long Bo An School of Computer Science and Engineering boan@ntu.edu.sg Engineering::Computer science and engineering 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. Bachelor of Engineering (Computer Science) 2020-04-20T05:55:09Z 2020-04-20T05:55:09Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/137945 en SCSE19-0518 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Goh, Wen Long Building software agents for power trading agent competition |
| title | Building software agents for power trading agent competition |
| title_full | Building software agents for power trading agent competition |
| title_fullStr | Building software agents for power trading agent competition |
| title_full_unstemmed | Building software agents for power trading agent competition |
| title_short | Building software agents for power trading agent competition |
| title_sort | building software agents for power trading agent competition |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/137945 |
| work_keys_str_mv | AT gohwenlong buildingsoftwareagentsforpowertradingagentcompetition |