Monthly electricity demand forecasting using empirical mode decomposition-based state space model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Monthly electricity demand forecasting using empirical mode decomposition-based state space model

Published:2019-04-13 Issue:7 Volume:30 Page:1236-1254
ISSN:0958-305X
Container-title:Energy & Environment
language:en
Short-container-title:Energy & Environment

Author:

Hu Zhineng¹,Ma Jing¹,Yang Liangwei²,Yao Liming¹,Pang Meng³

Affiliation:

1. Business School, Sichuan University, Chengdu, P.R. China

2. Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, P.R. China

3. Sichuan Regulatory Commission, State Administration of Energy of China, Chengdu, P.R. China

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Environmental Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/0958305X19842061

Reference47 articles.

1. The Relationship Between Summer Weather and Summer Loads - A Regression Analysis

2. Analysis of the value for unit commitment of improved load forecasts

3. A hybrid forecasting model based on date-framework strategy and improved feature selection technology for short-term load forecasting

4. Forecasting the load of electrical power systems in mid‐ and long‐term horizons: a review

5. A monthly electricity consumption forecasting method based on vector error correction model and self-adaptive screening method

Cited by 7 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. An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

2. Yapay Sinir Ağları ve ARIMA Modeli ile Türkiye Için Yenilenebilir Enerji Üretiminin Tahmini: 2023 Yenilenebilir Enerji Kaynaklarına Göre Üretim Hedefleri;Verimlilik Dergisi;2023-01-31

3. Load Forecasting and Analysis of Power Scenario in Bihar Using Time Series Prediction and Machine Learning;Lecture Notes in Electrical Engineering;2022-11-09

4. Flicker Source Detection Including Fixed Speed Wind Turbines Using Empirical Mode Decomposition;Scientia Iranica;2022-07-11

5. Ensemble Prediction Approach Based on Learning to Statistical Model for Efficient Building Energy Consumption Management;Symmetry;2021-03-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3