A heterogeneous distributed prediction model for wind-solar energy production

Informazioni relative al progetto

ANSWER

ID dell’accordo di sovvenzione: 101111188

DOI

10.3030/101111188

Progetto chiuso

Data della firma CE 13 Luglio 2023

Data di avvio 1 Febbraio 2024

Data di completamento 31 Marzo 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 230 774,40

Coordinato da

DANMARKS TEKNISKE UNIVERSITET
Denmark

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

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

Autori: Lele Qi, Mengna Liu, Xu Cheng, Chen Jia, Xiufeng Liu, Shengyong Chen
Pubblicato in: IEEE Internet of Things Journal, Numero 12, 2025, ISSN 2327-4662
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JIOT.2025.3596949

LightWind: A Lightweight Framework for Efficient Wind Power Forecasting

Autori: Yutao Jin, Mengna Liu, Zhichen Lai, Xu Cheng, Xiufeng Liu
Pubblicato in: IEEE Sensors Journal, Numero 25, 2025, ISSN 1530-437X
Editore: 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

Autori: Wenjie Wang, Mengna Liu, Yunke Li, Xu Cheng, Xiufeng Liu, Shengyong Chen
Pubblicato in: IEEE Transactions on Industrial Informatics, Numero 22, 2026, ISSN 1551-3203
Editore: 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

Autori: Mengna Liu, Pengshuai Yao, Xu Cheng, Shengyong Chen
Pubblicato in: Expert Systems with Applications, Numero 284, 2025, ISSN 0957-4174
Editore: 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

Autori: Xin Qin, Mengna Liu, Wenjie Wang, Shuxin Li, Tianjiao Li, Xiufeng Liu, Xu Cheng
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 40, 2026, ISSN 2374-3468
Editore: 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

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