Adaptive Neuro-Fuzzy Inference System vs. Regression based approaches for annual electricity load forecasting-Reference-Cited by-同舟云学术

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Adaptive Neuro-Fuzzy Inference System vs. Regression based approaches for annual electricity load forecasting

Published:2010-02 Issue: Volume: Page:
ISSN:
Container-title:2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)
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Author:

Ghanbari Arash,Ghaderi S Farid,Azadeh M Ali

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5445099/5451218/05451534.pdf?arnumber=5451534

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. Modeling occupancy-driven building loads for large and diversified building stocks through the use of parametric schedules;Applied Energy;2020-10

4. Application of the autocorrelation function to working-day calculation in power management;Applied Soft Computing;2018-07

5. Long-term Sector-wise Electrical Energy Forecasting Using Artificial Neural Network and Biogeography-based Optimization;Electric Power Components and Systems;2015-06-13

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