A heterogeneous distributed prediction model for wind-solar energy production

Informations projet

ANSWER

N° de convention de subvention: 101111188

DOI

10.3030/101111188

Projet clôturé

Date de signature de la CE 13 Juillet 2023

Date de début 1 Février 2024

Date de fin 31 Mars 2026

Financé au titre de

• Marie Skłodowska-Curie Actions (MSCA)

Coût total

Aucune donnée

Contribution de l’UE

€ 230 774,40

Coordonné par

DANMARKS TEKNISKE UNIVERSITET
Denmark

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Livrables

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Publications

Peer reviewed articles (4)

One Stone, Three Birds: Prototype-Enhanced Federated Learning for Mitigating Data Scarcity, Imbalance, and Heterogeneity in Blade Icing Detection Across Distributed Wind Farms

Auteurs: Lele Qi, Mengna Liu, Xu Cheng, Chen Jia, Xiufeng Liu, Shengyong Chen
Publié dans: IEEE Internet of Things Journal, Numéro 12, 2025, ISSN 2327-4662
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JIOT.2025.3596949

LightWind: A Lightweight Framework for Efficient Wind Power Forecasting

Auteurs: Yutao Jin, Mengna Liu, Zhichen Lai, Xu Cheng, Xiufeng Liu
Publié dans: IEEE Sensors Journal, Numéro 25, 2025, ISSN 1530-437X
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JSEN.2025.3600483

Learning Domain-Generalizable Discriminative Representations by Mixing Euclidean Dynamics and Hilbert Statistics for Wind Turbine Blade Icing Detection

Auteurs: Wenjie Wang, Mengna Liu, Yunke Li, Xu Cheng, Xiufeng Liu, Shengyong Chen
Publié dans: IEEE Transactions on Industrial Informatics, Numéro 22, 2026, ISSN 1551-3203
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TII.2025.3616183

An end-to-end model for time series classification in the presence of missing values

Auteurs: Mengna Liu, Pengshuai Yao, Xu Cheng, Shengyong Chen
Publié dans: Expert Systems with Applications, Numéro 284, 2025, ISSN 0957-4174
Éditeur: Elsevier BV
DOI: 10.1016/J.ESWA.2025.127954

Conference proceedings (2)

Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification

Auteurs: Xin Qin, Mengna Liu, Wenjie Wang, Shuxin Li, Tianjiao Li, Xiufeng Liu, Xu Cheng
Publié dans: Proceedings of the AAAI Conference on Artificial Intelligence, Numéro 40, 2026, ISSN 2374-3468
Éditeur: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V40I29.39682

Dual-Expert Learning with Multiscale Wavelet Analysis for Imbalanced Blade Icing Detection

Auteurs: Mengna Liu, Shanshan Qi, Tianjiao Li, Xu Cheng, Xiufeng Liu, Shengyong Chen
Publié dans: 2025 4th International Conference on Power Systems and Electrical Technology (PSET), 2025
Éditeur: IEEE
DOI: 10.1109/PSET66242.2025.11296440