ANN-Based Electricity Price Forecasting Under Special Consideration of Time Series Properties

Day-ahead electricity price forecasting based on rolling time series and least square-support vector machine model

2011 Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2011.5968342 ◽

2011 ◽

Cited By ~ 3

Author(s):

Jianhua Zhang ◽

Jian Han ◽

Rui Wang ◽

Guolian Hou

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Support Vector Machine Model ◽

Electricity Price ◽

Least Square ◽

Support Vector ◽

Price Forecasting ◽

Machine Model ◽

Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting

Applied Energy ◽

10.1016/j.apenergy.2021.117695 ◽

2021 ◽

Vol 304 ◽

pp. 117695

Author(s):

Sumeyra Demir ◽

Krystof Mincev ◽

Koen Kok ◽

Nikolaos G. Paterakis

Keyword(s):

Time Series ◽

Data Augmentation ◽

Electricity Price ◽

Price Forecasting ◽

Time Series Regression ◽

Adversarial Networks ◽

Short-term Electricity Price Forecasting Based on Grey System Theory and Time Series Analysis

2010 Asia-Pacific Power and Energy Engineering Conference ◽

10.1109/appeec.2010.5448651 ◽

2010 ◽

Cited By ~ 1

Author(s):

Ruiqing Wang

Keyword(s):

System Theory ◽

Time Series ◽

Time Series Analysis ◽

Grey System Theory ◽

Electricity Price ◽

Price Forecasting ◽

Grey System ◽

Short Term ◽

Series Analysis ◽

Intelligent Computing Theories and Application - Lecture Notes in Computer Science ◽

SOM-Based Multivariate Nonlinear Vector Time Series Model for Real-Time Electricity Price Forecasting

10.1007/978-3-319-95930-6_15 ◽

2018 ◽

pp. 147-159

Author(s):

Ling Wang ◽

ZhiYuan Chen ◽

Tiehua Zhou ◽

Wenge Dong ◽

Gongliang Hu

Keyword(s):

Time Series ◽

Real Time ◽

Time Series Model ◽

Electricity Price ◽

Price Forecasting ◽

Nonlinear Vector ◽

Vector Time Series

FUZZY TIME SERIES FOR ELECTRICITY PRICE FORECASTING

POWER ENGINEERING economics technique ecology ◽

10.20535/1813-5420.3.2017.117221 ◽

2017 ◽

Vol 0 (3) ◽

pp. 45-50

Author(s):

Volodymyr Andriiovych Popov ◽

Petro Oleksandrovych Zamkovyi ◽

Л. В. Охота ◽

Д. С. Поплавець

Keyword(s):

Time Series ◽

Electricity Price ◽

Fuzzy Time Series ◽

Price Forecasting ◽

2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA) ◽

A novel hybrid approach using wavelet transform, time series time delay neural network, and error predicting algorithm for day-ahead electricity price forecasting

10.1109/cera.2017.8343326 ◽

2017 ◽

Cited By ~ 1

Author(s):

Abhinav Aggarwal ◽

M M Tripathi

Keyword(s):

Neural Network ◽

Time Series ◽

Wavelet Transform ◽

Time Delay ◽

Hybrid Approach ◽

Electricity Price ◽

Price Forecasting ◽

The Study on Electricity Price Forecasting Method based on Time Series ARMAX Model and Chaotic Particle Swarm Optimization

International Journal of Advancements in Computing Technology ◽

10.4156/ijact.vol4.issue15.23 ◽

2012 ◽

Vol 4 (15) ◽

pp. 198-205 ◽

Cited By ~ 2

Author(s):

Li Caihong Sun Wenheng

Keyword(s):

Time Series ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Electricity Price ◽

Price Forecasting ◽

Swarm Optimization ◽

Chaotic Particle Swarm Optimization

Forecasting Method ◽

Armax Model ◽

Application of Time Series Based SVM Model on Next-Day Electricity Price Forecasting Under Deregulated Power Market

2006 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2006.258728 ◽

2006 ◽

Cited By ~ 14

Author(s):

Wei Sun ◽

Jian-chang Lu ◽

Ming Meng

Keyword(s):

Time Series ◽

Power Market ◽

Electricity Price ◽

Price Forecasting ◽

Svm Model

Forecasting Functional Time Series with a New Hilbertian ARMAX Model: Application to Electricity Price Forecasting

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2017.2700287 ◽

2018 ◽

Vol 33 (1) ◽

pp. 545-556 ◽

Cited By ~ 39

Author(s):

Jose Portela Gonzalez ◽

Antonio Munoz San Roque ◽

Estrella Alonso Perez

Keyword(s):

Time Series ◽

Electricity Price ◽

Price Forecasting ◽

Model Application ◽

Functional Time Series ◽

Armax Model

11th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2018) ◽

Deep Learning Approach for Electricity Price Forecasting Using Stacked Autoencoders

10.1049/cp.2018.1815 ◽

2018 ◽

Author(s):

Hairong Li ◽

Guibin Wang ◽

Gangqiang Li ◽

Huaizhi Wang ◽

Chao Wu ◽

...

Keyword(s):

Deep Learning ◽

Electricity Price ◽

Learning Approach ◽

Price Forecasting ◽

Stacked Autoencoders