An improved back propagation neural network based on complexity decomposition technology and modified flower pollination optimization for short-term load forecasting

Lina Pan; Xiaosu Feng; Fawen Sang; Longjie Li; Mingwei Leng; Xiaoyun Chen

doi:10.1007/s00521-017-3222-2

An improved back propagation neural network based on complexity decomposition technology and modified flower pollination optimization for short-term load forecasting

Neural Computing and Applications ◽

10.1007/s00521-017-3222-2 ◽

2017 ◽

Vol 31 (7) ◽

pp. 2679-2697 ◽

Cited By ~ 4

Author(s):

Lina Pan ◽

Xiaosu Feng ◽

Fawen Sang ◽

Longjie Li ◽

Mingwei Leng ◽

...

Keyword(s):

Neural Network ◽

Load Forecasting ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Short Term ◽

Flower Pollination ◽

Short Term Load Forecasting

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Short Term Load Forecasting for Shiraz Region Using Adaptive Back Propagation Neural Network

2013 International Conference on Communication Systems and Network Technologies ◽

10.1109/csnt.2013.125 ◽

2013 ◽

Cited By ~ 2

Author(s):

A. K. Choobeh

Keyword(s):

Neural Network ◽

Load Forecasting ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Short Term ◽

Short Term Load Forecasting

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A generalized regression model based on hybrid empirical mode decomposition and support vector regression with back‐propagation neural network for mid‐short‐term load forecasting

Journal of Forecasting ◽

10.1002/for.2655 ◽

2020 ◽

Vol 39 (5) ◽

pp. 737-756 ◽

Cited By ~ 5

Author(s):

Guo‐Feng Fan ◽

Yan‐Hui Guo ◽

Jia‐Mei Zheng ◽

Wei‐Chiang Hong

Keyword(s):

Neural Network ◽

Regression Model ◽

Load Forecasting ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Support Vector ◽

Short Term ◽

Mode Decomposition ◽

Short Term Load Forecasting ◽

Generalized Regression Model

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A hybrid short-term load forecasting method based on improved ensemble empirical mode decomposition and back propagation neural network

Journal of Zhejiang University SCIENCE A ◽

10.1631/jzus.a1500156 ◽

2016 ◽

Vol 17 ◽

pp. 101-114 ◽

Cited By ~ 8

Author(s):

Yun-luo YU ◽

Wei LI

Keyword(s):

Neural Network ◽

Empirical Mode Decomposition ◽

Load Forecasting ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Ensemble Empirical Mode Decomposition ◽

Short Term ◽

Mode Decomposition ◽

Forecasting Method ◽

Short Term Load Forecasting

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Back Propagation Neural Network for Short-term Electricity Load Forecasting with Weather Features

2009 International Conference on Computational Intelligence and Natural Computing ◽

10.1109/cinc.2009.107 ◽

2009 ◽

Cited By ~ 4

Author(s):

Yong Wang ◽

Dawu Gu ◽

Jianping Xu ◽

Jing Li

Keyword(s):

Neural Network ◽

Load Forecasting ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Short Term ◽

Electricity Load ◽

Electricity Load Forecasting

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Comparison of Regression and Neural Network Model for Short Term Load Forecasting: A Case Study

Engineering Proceedings ◽

10.3390/engproc2021012029 ◽

2021 ◽

Vol 12 (1) ◽

pp. 29

Author(s):

Javaid Aslam ◽

Waqas Latif ◽

Muhammad Wasif ◽

Iftikhar Hussain ◽

Saba Javaid

Keyword(s):

Neural Network ◽

Power System ◽

Research Work ◽

Load Forecasting ◽

Back Propagation ◽

Electricity Consumption ◽

Power System Planning ◽

Short Term ◽

System Planning ◽

Short Term Load Forecasting

Short term load forecasting (STLF) is an obligatory and vibrant part of power system planning and dispatching. It utilized for short and running targets in power system planning. Electricity consumption has nonlinear patterns due to its reliance on factors such as time, weather, geography, culture, and some random and individual events. This research work emphasizes STLF through utilized load profile data from domestic energy meter and forecasts it by Multiple Linear Regression (MLR) and Cascaded Forward Back Propagation Neural Network (CFBP) techniques. First, simple regression statistical calculations used for prediction, later the model improved by using a neural network tool. The performance of both models compared with Mean Absolute Percent Error (MAPE). The MAPE error for MLR observed as 47% and it reduced to 8.9% for CFBP.

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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 ◽

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 ◽

Short Term ◽

Model Based ◽

Short Term Load Forecasting

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Short Term Load Forecasting Using Neural Network Trained with Genetic Algorithm & Particle Swarm Optimization

2008 First International Conference on Emerging Trends in Engineering and Technology ◽

10.1109/icetet.2008.94 ◽

2008 ◽

Cited By ~ 22

Author(s):

Sanjib Mishra ◽

Sarat Kumar Patra

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Particle Swarm Optimization ◽

Load Forecasting ◽

Particle Swarm ◽

Short Term ◽

Swarm Optimization ◽

Short Term Load Forecasting

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Convolutional and recurrent neural network based model for short-term load forecasting

Electric Power Systems Research ◽

10.1016/j.epsr.2021.107173 ◽

2021 ◽

Vol 195 ◽

pp. 107173

Author(s):

Hosein Eskandari ◽

Maryam Imani ◽

Mohsen Parsa Moghaddam

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Load Forecasting ◽

Short Term ◽

Short Term Load Forecasting

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Short-term Load Forecasting of Long-short Term Memory Neural Network Based on Genetic Algorithm

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) ◽

10.1109/ei250167.2020.9346907 ◽

2020 ◽

Author(s):

Wanting Li ◽

Chuanzhi Zang ◽

Ding Liu ◽

Peng Zeng

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Short Term Memory ◽

Load Forecasting ◽

Short Term ◽

Term Memory ◽

Short Term Load Forecasting ◽

Long Short Term Memory

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