Sökresultat - "data-driven methods"

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Combining AI and Simulation to Assess Building Demand Response Potential at Scale

Chen, Ruoxu, Tang, Zhuofan, Lyu, Ruike, Zheng, Qingrong, Song, Haotian, Guo, Hongye

2025 5th International Conference on Advances in Electrical, Electronics and Computing Technology (EECT)

Lithium Ion Battery Pack Robust State of Charge and Charging Method Estimation using Fuzzy Logic

P, Manikandan, R, Jeyabharath, A, Dhinagaran, P, Mareeswaran, C, Kishore, R, Mugilmuthu

2025 International Conference on Intelligent Computing and Control Systems (ICICCS)

PiezoNet and Data-Driven Models for Time-Domain Characterization of Piezoelectric Resonators

Grigoryan, Davit, Liao, Mian, Li, Haoran, Wang, Shukai, Sen, Tanuj, Tan, Matthew, Chen, Minjie

2025 IEEE Applied Power Electronics Conference and Exposition (APEC)

Bayesian Formal Synthesis of Unknown Systems via Robust Simulation Relations

Schon, O., van Huijgevoort, B., Haesaert, S., Soudjani, S.

VANE-IN: Velocity Auto-Encoder for Inertial Navigation

Teng, X., Li, C., Xu, S., Guo, D., Li, H.

On the Equivalence of Model-Based and Data-Driven Approaches to the Design of Unknown-Input Observers

Disaro, G., Valcher, M.E.

A Lithium-Ion Battery State-of-Health Prediction Model Combining Convolutional Neural Network and Masked Multi-Head Attention Mechanism

Xiao, H., Fu, L., Shang, C., Yaxiang, F., Bao, X., Xinghua, X.

Rethinking Safe Policy Learning for Complex Constraints Satisfaction: A Glimpse in Real-Time Security Constrained Economic Dispatch Integrating Energy Storage Units

Hu, J., Ye, Y., Wu, Y., Zhao, P., Liu, L.

Predicting the Hardness of Low Alloy Metal using Machine Learning Model

Logeswaran, K., Savitha, S., Suresh, P., Sah, Swati, Priyanka, B, Ragav, R, Vishal, R S, Mohamed Arsath, H

2024 6th International Conference on Computational Intelligence and Networks (CINE)

A data-driven approach to UIO-based fault diagnosis

Fattore, Giulio, Valcher, Maria Elena

2024 IEEE 63rd Conference on Decision and Control (CDC)

Flood Risk Assessment and Interpretation Using Explainable AI

Sharma, Swati, Tomar, Vivek, Arora, Sangeeta, Gupta, Nishant

2024 International Conference on IoT, Communication and Automation Technology (ICICAT)

Enhanced Adaptation of Reinforcement Learning Algorithms to Actuator Variability in Autonomous Driving: Error Observation and LSTM Prediction

Zhou, Yuwei, Hu, Jin, Cheng, Liangzhu, Zhang, Yutan, Du, Ying, Ding, Wenting, Wang, Ziyue

2024 8th CAA International Conference on Vehicular Control and Intelligence (CVCI)

A Data-Driven Advisory Tool for Mixed-Generation Power Systems

Bertozzi, Otavio, Ooi, Guang An, Aftab, Mohd Asim, Venkatraman, Murali S., Adam, Grain P., Konstantinou, Charalambos, Ahmed, Shehab

2024 IEEE Energy Conversion Congress and Exposition (ECCE)

Data-Driven Key Parameter Prediction of Dryer Section in the Papermaking Process

Yang, Yafei, Gao, Qifan, Tang, Wei, Zhang, Cheng, Fei, Xuyong

2024 International Conference on Networking, Sensing and Control (ICNSC)

Training Data Generation Strategies for Data-driven Security Assessment of Low Voltage Smart Grids

Cuenca, Juan J., Aldea, Emanuel, Le Guern-Dall'o, Eloann, Feraud, Raphael, Camilleri, Guy, Blavette, Anne

2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)

Accurate and Robust Inertia Estimation Using Limited Measurement Data

Shchetinin, Dmitry, Larsson, Mats

2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)

Behaviors, trajectories and data: A novel perspective on the design of unknown-input observers

Disaro, Giorgia, Valcher, Maria Elena

2024 28th International Conference on System Theory, Control and Computing (ICSTCC)

Deep Learning Approach for EEG Classification in Lower-Limb Movement Phases: Towards Enhanced Brain-Computer Interface Control

Blanco-Diaz, Cristian Felipe, David Guerrero-Mendez, Cristian, Furtado, Guilherme Rangel, Bastos-Filho, Teodiano, de Andrade, Rafhael Milanezi

2024 20th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)

Physics-Informed Convolutional Autoencoder for Cyber Anomaly Detection in Power Distribution Grids

Zideh, Mehdi Jabbari, Solanki, Sarika Khushalani

2024 IEEE Power & Energy Society General Meeting (PESGM)