Short-Term Demand Forecast Using Fourier Series

被引：5

作者：

Cruz, Laura M. ^{[1
]}

Alvarez, David L. ^{[1
]}

Rivera, Sergio R. ^{[1
]}

Herrera, Fernando A. ^{[1
]}

机构：

[1] Univ Nacl Colombia, High Voltage Innovat Lab LIAT, Elect & Elect Engn Dept, Cra 30 45-03 Edificio, Bogota 411102, Colombia

来源：

2019 IEEE WORKSHOP ON POWER ELECTRONICS AND POWER QUALITY APPLICATIONS (PEPQA) | 2019年

关键词：

Asset Management; Contingency Analysis; Fourier Series; Load Forecasting;

D O I：

10.1109/pepqa.2019.8851533

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents a model to forecast load in short-term (24 h) aiming to support decision-making during contingencies in power distribution systems. The methodology is based on the calculation of both, coefficients and angles of the Fourier series in order to characterize the load curve. These parameters are fitted using historical load reports. The proposed methodology was performed using the data of two power transformers to show the behaviour of the demand curve for weekdays as well as for weekends. The quadratic mean errors obtained using the proposed algorithm and according to the computational efficiency in the fitting of the coefficients, it is possible implement the algorithm in the power systems control and operation planning.

引用

页数：5

共 50 条

[31] Short-Term Demand Forecast of E-Commerce Platform Based on ConvLSTM Network
Li, Zan
Zhang, Nairen
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
[32] Progressive Short-Term Household Load Demand Forecast: A Dual-Model Approach
Silva, Jaoo
Bartolomeu, Paulo C.
2022 IEEE 8TH WORLD FORUM ON INTERNET OF THINGS, WF-IOT, 2022,
[33] Online short-term forecast of greenhouse heat load using a weather forecast service
Vogler-Finck, P. J. C.
Bacher, P.
Madsen, H.
APPLIED ENERGY, 2017, 205 : 1298 - 1310
[34] Short-term water demand forecast modeling techniques - Conventional methods versus AI
Jain, A
Ormsbee, LE
JOURNAL AMERICAN WATER WORKS ASSOCIATION, 2002, 94 (07): : 64 - 72
[35] Short-Term Photovoltaic Power Forecast Based on Long Short-Term Memory Network
Shi, Min
Xu, Ke
Wang, Jue
Yin, Rui
Wang, Tieqiang
Yong, Taiyou
Hongyuan, Tianjin
PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC), 2019, : 2110 - 2116
[36] A short-term traffic flow forecast algorithm based on double seasonal time series
Qiu, D.-G. (qiudunguo@163.com), 1600, Sichuan University (45):
[37] TIME SERIES ANALYSIS OF RADIO SIGNALS WET TROPOSPHERIC DELAYS FOR SHORT-TERM FORECAST
Rzepecka, Zofia
Kalita, Jakub Zbigniew
Stepniak, Katarzyna
Wielgosz, Pawel
ACTA GEODYNAMICA ET GEOMATERIALIA, 2015, 12 (04): : 345 - 354
[38] Short-term Passenger Flow Forecast of Public Buildings Based on Time Series Analysis
Liu, Shuang
Liu, Wenxia
Qu, Chenfei
Long, Chao
PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2019), 2019,
[39] Accounting seasonal nonstationarity in time series models for short-term ozone level forecast
Sung Eun Kim
Ashok Kumar
Stochastic Environmental Research and Risk Assessment, 2005, 19 : 241 - 248
[40] Accounting seasonal nonstationarity in time series models for short-term ozone level forecast
Kim, SE
Kumar, A
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2005, 19 (04) : 241 - 248

← 1 2 3 4 5 →