@article{imran_matchmaking_2020,
	title = {Matchmaking model for bilateral trading decisions of load serving entity},
	volume = {183},
	url = {https://www.sciencedirect.com/science/article/pii/S0378779620300870},
	abstract = {Matchmaking and bilateral negotiations are two distinct phases of practical market participants’ decision making for bilateral transactions. Agent-based models are naturally suitable for electricity markets in general and bilateral transactions in particular. This paper's contribution includes development of a novel matchmaking model that generates forward contracting power and utility curves. The matchmaking model enables a load serving entity agent to undertake its own matchmaking, to find optimal trading allocations over a range of prices, before engaging in bilateral negotiations with generation company agents. Open-source agent-based simulation platform allows combined simulation of bilateral transactions and day-ahead auction. In this research paper, matchmaking is achieved by direct-search without any organized bulletin board, broker, or matchmaker. Instead of random matchmaking, portfolio optimization based matchmaking systematically explores available electricity trading options throughout the market: local and non-local bilateral trades as well as day-ahead auctions. The matchmaking algorithm is unique because it scans all trading options over the entire range of negotiable prices. Depending on private profit-seeking goals, risk-aversion preferences and market price statistics, each load serving entity agent individually finds its matchmaking results. A set of case studies demonstrates how matchmaking model depends on transmission rights and performs for different risk aversion factors.},
	journal = {Electric Power Systems Research},
	author = {Imran, Kashif and Ullah, Kafait and Khattak, Abraiz and Zhang, Jiangfeng and Pal, Anamitra and Rafique, Muhammad Nauman and Baig, Sherjeel Mahmood},
	month = jun,
	year = {2020},
	keywords = {Bilateral negotiations, Day-ahead markets, Direct-search bilateral trade, Matchmaking, Portfolio optimization},
	pages = {1--11},
}

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The matchmaking model enables a load serving entity agent to undertake its own matchmaking, to find optimal trading allocations over a range of prices, before engaging in bilateral negotiations with generation company agents. Open-source agent-based simulation platform allows combined simulation of bilateral transactions and day-ahead auction. In this research paper, matchmaking is achieved by direct-search without any organized bulletin board, broker, or matchmaker. Instead of random matchmaking, portfolio optimization based matchmaking systematically explores available electricity trading options throughout the market: local and non-local bilateral trades as well as day-ahead auctions. The matchmaking algorithm is unique because it scans all trading options over the entire range of negotiable prices. Depending on private profit-seeking goals, risk-aversion preferences and market price statistics, each load serving entity agent individually finds its matchmaking results. A set of case studies demonstrates how matchmaking model depends on transmission rights and performs for different risk aversion factors.","journal":"Electric Power Systems Research","author":[{"propositions":[],"lastnames":["Imran"],"firstnames":["Kashif"],"suffixes":[]},{"propositions":[],"lastnames":["Ullah"],"firstnames":["Kafait"],"suffixes":[]},{"propositions":[],"lastnames":["Khattak"],"firstnames":["Abraiz"],"suffixes":[]},{"propositions":[],"lastnames":["Zhang"],"firstnames":["Jiangfeng"],"suffixes":[]},{"propositions":[],"lastnames":["Pal"],"firstnames":["Anamitra"],"suffixes":[]},{"propositions":[],"lastnames":["Rafique"],"firstnames":["Muhammad","Nauman"],"suffixes":[]},{"propositions":[],"lastnames":["Baig"],"firstnames":["Sherjeel","Mahmood"],"suffixes":[]}],"month":"June","year":"2020","keywords":"Bilateral negotiations, Day-ahead markets, Direct-search bilateral trade, Matchmaking, Portfolio optimization","pages":"1–11","bibtex":"@article{imran_matchmaking_2020,\r\n\ttitle = {Matchmaking model for bilateral trading decisions of load serving entity},\r\n\tvolume = {183},\r\n\turl = {https://www.sciencedirect.com/science/article/pii/S0378779620300870},\r\n\tabstract = {Matchmaking and bilateral negotiations are two distinct phases of practical market participants’ decision making for bilateral transactions. Agent-based models are naturally suitable for electricity markets in general and bilateral transactions in particular. This paper's contribution includes development of a novel matchmaking model that generates forward contracting power and utility curves. The matchmaking model enables a load serving entity agent to undertake its own matchmaking, to find optimal trading allocations over a range of prices, before engaging in bilateral negotiations with generation company agents. Open-source agent-based simulation platform allows combined simulation of bilateral transactions and day-ahead auction. In this research paper, matchmaking is achieved by direct-search without any organized bulletin board, broker, or matchmaker. Instead of random matchmaking, portfolio optimization based matchmaking systematically explores available electricity trading options throughout the market: local and non-local bilateral trades as well as day-ahead auctions. The matchmaking algorithm is unique because it scans all trading options over the entire range of negotiable prices. Depending on private profit-seeking goals, risk-aversion preferences and market price statistics, each load serving entity agent individually finds its matchmaking results. A set of case studies demonstrates how matchmaking model depends on transmission rights and performs for different risk aversion factors.},\r\n\tjournal = {Electric Power Systems Research},\r\n\tauthor = {Imran, Kashif and Ullah, Kafait and Khattak, Abraiz and Zhang, Jiangfeng and Pal, Anamitra and Rafique, Muhammad Nauman and Baig, Sherjeel Mahmood},\r\n\tmonth = jun,\r\n\tyear = {2020},\r\n\tkeywords = {Bilateral negotiations, Day-ahead markets, Direct-search bilateral trade, Matchmaking, Portfolio optimization},\r\n\tpages = {1--11},\r\n}\r\n","author_short":["Imran, K.","Ullah, K.","Khattak, A.","Zhang, J.","Pal, A.","Rafique, M. N.","Baig, S. 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