Boosted Multi-Task Learning for Inter-District Collaborative Load Forecasting-Reference-Cited by-同舟云学术

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Boosted Multi-Task Learning for Inter-District Collaborative Load Forecasting

Published:2024-01 Issue:1 Volume:15 Page:973-986
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Liu Haizhou¹^ORCID,Zhang Xuan¹^ORCID,Sun Hongbin²^ORCID,Shahidehpour Mohammad³^ORCID

Affiliation:

1. Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

2. Department of Electrical Engineering, Tsinghua University, Beijing, China

3. Electrical and Computer Engineering Department, Illinois Institute of Technology, Chicago, IL, USA

Funder

Shenzhen Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/10372481/10098954.pdf?arnumber=10098954

Reference40 articles.

1. Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

2. Conditional Residual Modeling for Probabilistic Load Forecasting

3. Modeling of district load forecasting for distributed energy system

4. A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting

5. A hybrid dynamic and fuzzy time series model for mid-term power load forecasting

Cited by 5 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. TMLNet: Triad Multitask Learning Network for multiobjective based change detection;Neurocomputing;2024-09

2. Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads;IEEE Transactions on Smart Grid;2024-07

3. Boosted Multi-Task Learning for Inter-District Collaborative Load Forecasting;IEEE Transactions on Smart Grid;2024-01

4. Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning;Nature Communications;2023-12-05

5. Multi-Task Gradient Boosting;Lecture Notes in Computer Science;2023

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