Analysis of urbanization influence towards power demand forecasting

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

10.1049/cp:20061762 ◽

2006 ◽

Author(s):

Yan Zheng ◽

Yuansheng Huang ◽

Jun Fang ◽

Dongxiao Niu ◽

Jianxun Qi

Keyword(s):

Demand Forecasting ◽

Power Demand

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Net Demand Forecasting by Taguchi's T Method in Small or Middle Power Demand with PVs

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.137.1043 ◽

2017 ◽

Vol 137 (8) ◽

pp. 1043-1051 ◽

Cited By ~ 1

Author(s):

Yusuke Morimoto ◽

Shintaro Negishi ◽

Satoshi Takayama ◽

Atsushi Ishigame

Keyword(s):

Demand Forecasting ◽

Power Demand ◽

Middle Power

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Short-term Power Demand Forecasting using Fixed Information at the Time of Prediction

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.137.1036 ◽

2017 ◽

Vol 137 (8) ◽

pp. 1036-1042

Author(s):

Ken-ihi Tokoro ◽

Takayuki Higo

Keyword(s):

Demand Forecasting ◽

Power Demand ◽

Short Term

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Incremental Adaptive Time Series Prediction for Power Demand Forecasting

Data Mining and Big Data - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61845-6_9 ◽

2017 ◽

pp. 83-92 ◽

Cited By ~ 1

Author(s):

Petra Vrablecová ◽

Viera Rozinajová ◽

Anna Bou Ezzeddine

Keyword(s):

Time Series ◽

Time Series Prediction ◽

Demand Forecasting ◽

Power Demand ◽

Adaptive Time

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Electric Power Demand Forecasting of KAVAL Cities

International Journal of Electrical and Power Engineering ◽

10.3923/ijepe.2010.85.89 ◽

2010 ◽

Vol 4 (2) ◽

pp. 85-89 ◽

Cited By ~ 3

Author(s):

A.K. Bhardwaj ◽

R.C. Bansal ◽

R.K. Saket ◽

A.K. Srivastava

Keyword(s):

Electric Power ◽

Demand Forecasting ◽

Power Demand

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Development of Peak Power Demand Forecasting Model for Special-Day using ELM

The Transactions of the Korean Institute of Electrical Engineers P ◽

10.5370/kieep.2015.64.2.074 ◽

2015 ◽

Vol 64 (2) ◽

pp. 74-78 ◽

Cited By ~ 1

Author(s):

Pyeong-Shik Ji ◽

Jae-Yoon Lim

Keyword(s):

Peak Power ◽

Demand Forecasting ◽

Forecasting Model ◽

Power Demand ◽

Demand Forecasting Model

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Research on Power Demand Forecasting of Beijing Based on Regression Analysis

Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017) ◽

10.2991/mcei-17.2017.56 ◽

2017 ◽

Author(s):

Shuyu Dai ◽

Yan Li ◽

Dongxiao Niu

Keyword(s):

Regression Analysis ◽

Demand Forecasting ◽

Power Demand

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Power Demand Forecasting Based on BP Neural Network Optimized by Clone Selection Particle Swarm

Advancing Computing, Communication, Control and Management - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-642-05173-9_18 ◽

2010 ◽

pp. 135-141 ◽

Cited By ~ 1

Author(s):

Xiang Li ◽

Shi-jun Lu

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Demand Forecasting ◽

Particle Swarm ◽

Power Demand ◽

Clone Selection

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Ultra-Short-Term Industrial Power Demand Forecasting Using LSTM Based Hybrid Ensemble Learning

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2019.2963109 ◽

2020 ◽

Vol 35 (4) ◽

pp. 2937-2948 ◽

Cited By ~ 6

Author(s):

Mao Tan ◽

Siping Yuan ◽

Shuaihu Li ◽

Yongxin Su ◽

Hui Li ◽

...

Keyword(s):

Ensemble Learning ◽

Demand Forecasting ◽

Power Demand ◽

Short Term

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Power Demand Forecasting Using Long Short-Term Memory Neural Network based Smart Grid

2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) ◽

10.1109/icaiic48513.2020.9065270 ◽

2020 ◽

Author(s):

Van Hoa Nguyen ◽

Van Bui ◽

Joongheon Kim ◽

Yeong Min Jang

Keyword(s):

Neural Network ◽

Smart Grid ◽

Short Term Memory ◽

Demand Forecasting ◽

Power Demand ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory

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Building power demand forecasting using K-nearest neighbors model - initial approach

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) ◽

10.1109/appeec.2016.7779700 ◽

2016 ◽

Cited By ~ 1

Author(s):

Oleg Valgaev ◽

Friederich Kupzog

Keyword(s):

Demand Forecasting ◽

Nearest Neighbors ◽

Power Demand ◽

K Nearest Neighbors ◽

Initial Approach

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