Xiufeng Liu

Technical University of Denmark

Denmark

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Articles (30)

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Collaborators (7)

Per Sieverts Nielsen

Technical University of Denmark

DENMARK

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Fabian Scheller

Professor (Energy Efficiency and Ressource Efficiency)

Technical University of Applied Sciences Würzburg-Schweinfurt

GERMANY

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lizhen huang

Norwegian University of Science and Technology

NORWAY

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Roberto Monaco

Technical University of Denmark

DENMARK

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Yanyan Yang

Academic, Senior Lecturer, Senior Lecturer

University of Portsmouth

UNITED KINGDOM

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Marco Biemann

Technical University of Denmark

DENMARK

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Philipp Andreas Gunkel

Technical University of Denmark

DENMARK

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Xiufeng Liu

Research Interests

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Articles (30)

Multi-branch perturbation learning with constraint simulation for semi-supervised semantic segmentation

Temporal structure-preserving transformer for industrial load forecasting

Cabin: A collaborative and adaptive framework for wind power forecasting integrating ambient variables

Interpretable spatiotemporal urban energy forecasting

Enhancing spatiotemporal wind power forecasting with meta-learning in data-scarce environments

Learning interpretable dynamics: Influence-based clustering of energy consumption time series

A hybrid governance framework for adaptive and sustainable urban energy management

Advancements in morphology controllable ternary organic solar cells for active layers

SpatialIE: Towards adaptive floating waste detection in unpredictable weather

Time series anomaly detection via temporal relationship graphs and adaptive smoothing

A holistic sustainability framework for remanufacturing under uncertainty

Energy consumption forecasting based on spatio-temporal behavioral analysis for demand-side management

Carbon footprint tracing and pattern recognition framework based on visual analytics

Sparse dynamic graph learning for district heat load forecasting

Carbon futures price forecasting based on feature selection

Uncovering urban water consumption patterns through time series clustering and entropy analysis

Explainable time-varying directional representations for photovoltaic power generation forecasting

A new feature selection method based on importance measures for crude oil return forecasting

A novel entropy-based method for quantifying urban energy demand aggregation: Implications for urban planning and policy

An integrated intrusion detection framework based on subspace clustering and ensemble learning

Sustainable Energy Data Centres: A Holistic Conceptual Framework for Design and Operations

A non-functional requirements-based ontology for supporting the development of industrial energy management systems

Data Center HVAC Control Harnessing Flexibility Potential via Real-Time Pricing Cost Optimization Using Reinforcement Learning

Explainable district heat load forecasting with active deep learning

Anomaly detection with a container-based stream processing framework for Industrial Internet of Things

A multivariate time series graph neural network for district heat load forecasting

Optimizing electricity demand scheduling in microgrids using deep reinforcement learning for cost‐efficiency

An energy demand-side management and net metering decision framework

An energy demand-side management and net metering decision framework

Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation

Collaborators (7)

Per Sieverts Nielsen

Fabian Scheller

lizhen huang

Roberto Monaco

Yanyan Yang

Marco Biemann

Philipp Andreas Gunkel

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