Short-term load forecasting via ARMA model identification including non-gaussian process considerations

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2003.811010 ◽

2003 ◽

Vol 18 (2) ◽

pp. 673-679 ◽

Author(s):

Shyh-Jier Huang ◽

Kuang-Rong Shih

Keyword(s):

Gaussian Process ◽

Load Forecasting ◽

Model Identification ◽

Short Term Load Forecasting ◽

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Short-Term Load Forecasting for Jordan Power System Based on NARX-ELMAN Neural Network and ARMA Model

IEEE Canadian Journal of Electrical and Computer Engineering ◽

10.1109/icjece.2021.3076124 ◽

2021 ◽

Vol 44 (3) ◽

pp. 356-363

Author(s):

Lina Alhmoud ◽

Qusay Nawafleh

Keyword(s):

Neural Network ◽

Power System ◽

Load Forecasting ◽

Elman Neural Network ◽

Short Term Load Forecasting

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Bayesian Spatiotemporal Gaussian Process for Short-term Load Forecasting Using Combined Transportation and Electricity Data

ACM Transactions on Cyber-Physical Systems ◽

10.1145/3300185 ◽

2020 ◽

Vol 4 (1) ◽

pp. 1-25 ◽

Author(s):

Mostafa Gilanifar ◽

Hui Wang ◽

Eren Erman Ozguven ◽

Yuxun Zhou ◽

Reza Arghandeh

Keyword(s):

Gaussian Process ◽

Load Forecasting ◽

Short Term Load Forecasting

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Improved short term load forecasting of power system based on ARMA model

Proceedings of the 2016 International Conference on Engineering Management (Iconf-EM 2016) ◽

10.2991/iconfem-16.2016.2 ◽

2016 ◽

Author(s):

Weiheng Wang

Keyword(s):

Power System ◽

Load Forecasting ◽

Short Term Load Forecasting

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Short-term load forecasting using a Gaussian process model: The influence of a derivative term in the input regressor

Intelligent Decision Technologies ◽

10.3233/idt-2012-0143 ◽

2012 ◽

Vol 6 (4) ◽

pp. 273-281 ◽

Author(s):

J.M. Lourenço ◽

P.J. Santos

Keyword(s):

Gaussian Process ◽

Process Model ◽

Load Forecasting ◽

Gaussian Process Model ◽

Short Term Load Forecasting ◽

Derivative Term

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A pareto optimization approach of a Gaussian process ensemble for short-term load forecasting

2011 16th International Conference on Intelligent System Applications to Power Systems ◽

10.1109/isap.2011.6082231 ◽

2011 ◽

Author(s):

Miltiadis Alamaniotis ◽

Andreas Ikonomopoulos ◽

Lefteri H. Tsoukalas

Keyword(s):

Gaussian Process ◽

Load Forecasting ◽

Pareto Optimization ◽

Optimization Approach ◽

Short Term Load Forecasting

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Short‐Term Load Forecasting Based on Gaussian Process Regression with Density Peak Clustering and Information Sharing Antlion Optimizer

IEEJ Transactions on Electrical and Electronic Engineering ◽

10.1002/tee.23198 ◽

2020 ◽

Vol 15 (9) ◽

pp. 1312-1320

Author(s):

Yaling Zhu ◽

Bo Zhang ◽

Zhenhai Dou ◽

Hao Zou ◽

Shengtao Li ◽

...

Keyword(s):

Gaussian Process ◽

Information Sharing ◽

Load Forecasting ◽

Gaussian Process Regression ◽

Density Peak ◽

Short Term Load Forecasting ◽

Density Peak Clustering

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Analysis of an adaptive time-series autoregressive moving-average (ARMA) model for short-term load forecasting

Electric Power Systems Research ◽

10.1016/0378-7796(95)00977-1 ◽

1995 ◽

Vol 34 (3) ◽

pp. 187-196 ◽

Author(s):

Jiann-Fuh Chen ◽

Wei-Ming Wang ◽

Chao-Ming Huang

Keyword(s):

Time Series ◽

Moving Average ◽

Load Forecasting ◽

Autoregressive Moving Average ◽

Short Term Load Forecasting ◽

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96/01608 Analysis of an adaptive time-series autoregressive moving-average (ARMA) model for short-term load forecasting

Fuel and Energy Abstracts ◽

10.1016/0140-6701(96)87643-0 ◽

1996 ◽

Vol 37 (2) ◽

pp. 108

Keyword(s):

Time Series ◽

Moving Average ◽

Load Forecasting ◽

Autoregressive Moving Average ◽

Short Term Load Forecasting ◽

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The method of short-term load forecasting based on the RBF neural network

18th International Conference and Exhibition on Electricity Distribution (CIRED 2005) ◽

10.1049/cp:20051341 ◽

2005 ◽

Author(s):

Yan Lu ◽

Xin Lin ◽

Weifu Qi

Keyword(s):

Neural Network ◽

Rbf Neural Network ◽

Load Forecasting ◽

Short Term Load Forecasting

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Research on neural network model based on maximum conditional entropy and its application on short term load forecasting

2006 China International Conference on Electricity Distribution (CICED 2006) ◽

10.1049/cp:20061766 ◽

2006 ◽

Author(s):

Jianchang Lu ◽

Wei Sun ◽

Ming Meng

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Load Forecasting ◽

Conditional Entropy ◽

Model Based ◽

Short Term Load Forecasting

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