GRO-Bagging Day-Ahead Power Curve Forecasting Model Based on Multi-Cycle Feature Extraction-Reference-Cited by-同舟云学术

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GRO-Bagging Day-Ahead Power Curve Forecasting Model Based on Multi-Cycle Feature Extraction

Published:2024 Issue: Volume:12 Page:98584-98598
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Yaoxian¹^ORCID,Zhang Kaixin¹^ORCID,Chen Songsong²,Zhou Ying²,Chen Jingwen¹^ORCID

Affiliation:

1. School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi’an, China

2. Beijing Key Laboratory of Demand-Side Multi-Energy Complementary Optimization and Supply-Demand Interaction Technology, China Electric Power Research Institute Company Ltd., Haidian, Beijing, China

Funder

State Grid Corporation Headquarters Science and Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10599262.pdf?arnumber=10599262

Reference31 articles.

1. Combining Probability Density Forecasts for Power Electrical Loads

2. Incorporating Practice Theory in Sub-Profile Models for Short Term Aggregated Residential Load Forecasting

3. Smart energy management algorithm for load smoothing and peak shaving based on load forecasting of an island’s power system

4. A Novel Sequence to Sequence Data Modelling Based CNN-LSTM Algorithm for Three Years Ahead Monthly Peak Load Forecasting

5. Short-term household load forecasting based on Long- and Short-term Time-series network

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