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Special Issue: “Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization”

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  • Dirk Deschrijver

    (Department of Information Technology, Ghent University-IMEC, Technologiepark Zwijnaarde 126, 9052 Gent, Belgium)

Abstract

In October 2014, EU leaders agreed upon three key targets for the year 2030: a reduction of at least 40% in greenhouse gas emissions, a saving of at least a 27% share for renewable energy, and at least a 27% improvement in energy efficiency [...]

Suggested Citation

  • Dirk Deschrijver, 2021. "Special Issue: “Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization”," Energies, MDPI, vol. 14(6), pages 1-3, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1543-:d:514851
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    References listed on IDEAS

    as
    1. Rongjia Li & Guangya Zhu & Dalin Zhang, 2020. "Investigation on the Mechanism of Heat Load Reduction for the Thermal Anti-Icing System," Energies, MDPI, vol. 13(22), pages 1-19, November.
    2. Jessica Walther & Matthias Weigold, 2021. "A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry," Energies, MDPI, vol. 14(4), pages 1-24, February.
    3. Alberto V. Donati & Jette Krause & Christian Thiel & Ben White & Nikolas Hill, 2020. "An Ant Colony Algorithm for Improving Energy Efficiency of Road Vehicles," Energies, MDPI, vol. 13(11), pages 1-21, June.
    4. Anthony Faustine & Lucas Pereira, 2020. "Improved Appliance Classification in Non-Intrusive Load Monitoring Using Weighted Recurrence Graph and Convolutional Neural Networks," Energies, MDPI, vol. 13(13), pages 1-15, July.
    5. Zhibiao Guo & Weitao Li & Songyang Yin & Dongshan Yang & Zhibo Ma, 2021. "An Innovative Technology for Monitoring the Distribution of Abutment Stress in Longwall Mining," Energies, MDPI, vol. 14(2), pages 1-22, January.
    6. Tomasz Szul & Krzysztof Nęcka & Thomas G. Mathia, 2020. "Neural Methods Comparison for Prediction of Heating Energy Based on Few Hundreds Enhanced Buildings in Four Season’s Climate," Energies, MDPI, vol. 13(20), pages 1-17, October.
    7. Chun-Wei Chen & Chun-Chang Li & Chen-Yu Lin, 2020. "Combine Clustering and Machine Learning for Enhancing the Efficiency of Energy Baseline of Chiller System," Energies, MDPI, vol. 13(17), pages 1-20, August.
    8. Fang Wang & Wen-Jia Yang & Wei-Feng Sun, 2020. "Heat Transfer and Energy Consumption of Passive House in a Severely Cold Area: Simulation Analyses," Energies, MDPI, vol. 13(3), pages 1-19, February.
    9. Benoit G. Marinus & Antoine Hauglustaine, 2020. "Data-Driven Modeling of Fuel Consumption for Turboprop-Powered Civil Airliners," Energies, MDPI, vol. 13(7), pages 1-13, April.
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