Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/147894
Title: Performance-propagating strategy framework for autonomous power trading
Authors: Chen, Yongwei
Keywords: Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Chen, Y. (2021). Performance-propagating strategy framework for autonomous power trading. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/147894
Project: SCSE20-0253
Abstract: The Power Trading Agent Competition is a simulation platform for autonomous trading agents to operate between the wholesale market and the retail market, acting as the middleman who buys energy from the wholesale market and resells it to consumers in the retail market in the form of contracts. Many research have been conducted to understand what types of strategies allow autonomous agents to earn the most profits in the long run. Some of the proven strategies focus on optimizing individual performance in each market and not the overall strategy, even though the performance in markets might be interrelated. It is known that the performance of a trading agent in one market affects its performance in another market, yet the interrelationship between the two markets is not well-explored due to the complex nature of it. Therefore, the research question for this work is: ”Can the complexity of multiple markets be broken down into simpler machine learning problems to be used to assemble a holistic and coherent agent in the PowerTAC environment?” This work develops a performance-propagating strategy framework that can be used by many brokers to incorporate a holistic strategy. It involves analysing the relationships within each market and between each market, and then developing a strategy for each relationship in view of the propagating effect. Empirical results from this work have discovered out that while agents deploying a performance-propagating strategy is less effective in sustaining profitability when there are only a few competing brokers, agents with a performance-propagating strategy tends to outperform other competing brokers when more brokers are in the market. Therefore, the performance-propagating strategy framework is a viable framework that can be applied to any other agent’s current individual strategies to improve the total profitability of the agent.
URI: https://hdl.handle.net/10356/147894
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_SCSE20-0253_Chen YongWei.pdf
  Restricted Access
3.21 MBAdobe PDFView/Open

Page view(s)

166
Updated on Dec 1, 2022

Download(s)

11
Updated on Dec 1, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.