Monthly Electricity Forecast Based on Electricity Consumption Characteristics Analysis and Multiple Effect Factors-Reference-Cited by-同舟云学术

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Monthly Electricity Forecast Based on Electricity Consumption Characteristics Analysis and Multiple Effect Factors

Published:2019-10-21 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 8th International Conference on Advanced Power System Automation and Protection (APAP)
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Author:

Mengying Hu,Jiandong Duan,Zequan Hou,Peng Wang,Shuai Fang,Peijia Hou,Chaoyuan Fu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9220006/9224631/09224784.pdf?arnumber=9224784

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

1. TCN Multi-time-scale Transformation and Temporal-Attention Neural Network for Monthly Electricity Consumption Forecasting;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2023-12

2. A Method of Anomaly Data Identification and Correction for Industrial and Commercial Consumers’ Electricity Loads;2023 IEEE Sustainable Power and Energy Conference (iSPEC);2023-11-28

3. Machine Learning and Bagging to Predict Midterm Electricity Consumption in Saudi Arabia;Applied System Innovation;2023-07-10

4. Power consumption assessment for sustainable decision making using AHP;ETLTC-ICETM2023 INTERNATIONAL CONFERENCE PROCEEDINGS: ICT Integration in Technical Education & Entertainment Technologies and Management;2023

5. Taylor-based optimized recursive extended exponential smoothed neural networks forecasting method;Applied Intelligence;2022-07-18

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