Day-Ahead Electricity Market Clearing Price Forecasting: A Case in Yunnan

被引：0

作者：

Yu, Xuguang ^{[1
]}

Li, YaPeng ^{[1
]}

Yang, Qiang ^{[1
]}

Li, Gang ^{[1
]}

Cao, Rui ^{[1
]}

Cheng, Chuntian ^{[1
]}

Chen, Fu ^{[1
]}

机构：

[1] Dalian Univ Technol, Inst Hydropower & Hydroinformat, Dalian 116024, Liaoning, Peoples R China

来源：

WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2018: WATERSHED MANAGEMENT, IRRIGATION AND DRAINAGE, AND WATER RESOURCES PLANNING AND MANAGEMENT | 2018年

关键词：

Electricity markets; Forecasting; Market clearing price; Time series analysis;

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The newly-reformed Yunnan electricity market has been operating successfully for three years with more and more abundant trade varieties and perfect trading mechanism. The vitality of the market is increasing year by year. Market participants are gradually exploring reasonable bidding strategies, and the accurate electricity price forecasting is a joint demand for all the market members. With comprehensive considerations of the social economic background, the structure of the power system, the market development state, and other factors in Yunnan, this paper analyzes various factors and rules that have effects on the electricity price in day-ahead market. Furthermore, a successful application of an auto regressive moving average (ARMA) model to electricity price forecasting (EPF) is presented. The case study based on real data of day-ahead market in Yunnan shows that the proposed model could reflect the characteristics of electricity price and the results prove this model's effectivity.

引用

页码：141 / 151

页数：11

共 50 条

[31] Day-Ahead Electricity Price Forecasting Using Artificial Intelligence
Zhang, Jun
Cheng, Chuntian
[J]. 2008 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE, 2008, : 156 - 160
[32] Probabilistic Forecasting of Day-ahead Electricity Prices for the Iberian Electricity Market
Moreira, Rui
Bessa, Ricardo
Gama, Joao
[J]. 2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2016,
[33] Error Compensation Enhanced Day-Ahead Electricity Price Forecasting
Kontogiannis, Dimitrios
Bargiotas, Dimitrios
Daskalopulu, Aspassia
Arvanitidis, Athanasios Ioannis
Tsoukalas, Lefteri H.
[J]. ENERGIES, 2022, 15 (04)
[34] A soft computing system for day-ahead electricity price forecasting
Niu, Dongxiao
Liu, Da
Wu, Desheng Dash
[J]. APPLIED SOFT COMPUTING, 2010, 10 (03) : 868 - 875
[35] Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting
Marcjasz, Grzegorz
Serafin, Tomasz
Weron, Rafal
[J]. ENERGIES, 2018, 11 (09)
[36] Framework for collaborative intelligence in forecasting day-ahead electricity price
Beltran, Sergio
Castro, Alain
Irizar, Ion
Naveran, Gorka
Yeregui, Imanol
[J]. APPLIED ENERGY, 2022, 306
[37] A New Day-Ahead Hourly Electricity Price Forecasting Framework
Ghofrani, M.
Azimi, R.
Najafabadi, F. M.
Myers, N.
[J]. 2017 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2017,
[38] The value of day-ahead forecasting for photovoltaics in the Spanish electricity market
Antonanzas, J.
Pozo-Vazquez, D.
Fernandez-Jimenez, L. A.
Martinez-de-Pison, F. J.
[J]. SOLAR ENERGY, 2017, 158 : 140 - 146
[39] Electricity Price Forecasting in the Danish Day-Ahead Market Using the TBATS, ANN and ARIMA Methods
Karabiber, Orhan Altug
Xydis, George
[J]. ENERGIES, 2019, 12 (05)
[40] Price forecasting in the day-ahead Iberian electricity market using a conjectural variations ARIMA model
Lagarto, Joao
de Sousa, Jorge
Martins, Alvaro
Ferrao, Paulo
[J]. 2012 9TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2012,

← 1 2 3 4 5 →