Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Jorgensen, Bo Norregaard"'
The growing shift towards a Smart Grid involves integrating numerous new digital energy solutions into the energy ecosystems to address problems arising from the transition to carbon neutrality, particularly in linking the electricity and transportat
Externí odkaz:
http://arxiv.org/abs/2408.10790
Power-to-Hydrogen is crucial for the renewable energy transition, yet existing literature lacks business models for the significant excess heat it generates. This study addresses this by evaluating three models for selling electrolyzer-generated heat
Externí odkaz:
http://arxiv.org/abs/2408.10783
This paper addresses the critical integration of electric vehicles (EVs) into the electricity grid, which is essential for achieving carbon neutrality by 2050. The rapid increase in EV adoption poses significant challenges to the existing grid infras
Externí odkaz:
http://arxiv.org/abs/2408.10773
Publikováno v:
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
Advanced machine learning algorithms are increasingly utilized to provide data-based prediction and decision-making support in Industry 4.0. However, the prediction accuracy achieved by the existing models is insufficient to warrant practical impleme
Externí odkaz:
http://arxiv.org/abs/2403.02368
Publikováno v:
Energies 2024, 17, 500
The transportation sector remains a major contributor to greenhouse gas emissions. The understanding of energy-efficient driving behaviors and utilization of energy-efficient driving strategies are essential to reduce vehicles' fuel consumption. Howe
Externí odkaz:
http://arxiv.org/abs/2403.02053
Publikováno v:
Energy Informatics. EI.A 2023. Lecture Notes in Computer Science, vol 14467
Digitalization is challenging in heavy industrial sectors, and many pi-lot projects facing difficulties to be replicated and scaled. Case studies are strong pedagogical vehicles for learning and sharing experience & knowledge, but rarely available in
Externí odkaz:
http://arxiv.org/abs/2402.01718
Autor:
Howard, Daniel Anthony, Ma, Zheng Grace, Engvang, Jacob Alstrup, Hagenau, Morten, Jorgensen, Kathrine Lau, Olesen, Jonas Fausing, Jørgensen, Bo Nørregaard
The beverage industry is a typical food processing industry, accounts for significant energy consumption, and has flexible demands. However, the deployment of energy flexibility in the beverage industry is complex and challenging. Furthermore, activa
Externí odkaz:
http://arxiv.org/abs/2401.14903
Publikováno v:
In: Energy Informatics. EI.A 2023. Lecture Notes in Computer Science, vol 14468
Electric vehicles are expected to significantly contribute to CO2-eq. emissions reduction, but the increasing number of EVs also introduces chal-lenges to the energy system, and to what extent it contributes to achieving cli-mate goals remains unknow
Externí odkaz:
http://arxiv.org/abs/2401.06192
Publikováno v:
Progress in Artificial Intelligence. EPIA 2023. Lecture Notes in Computer Science, vol 14116
Energy load disaggregation can contribute to balancing power grids by enhancing the effectiveness of demand-side management and promoting electricity-saving behavior through increased consumer awareness. However, the field currently lacks a comprehen
Externí odkaz:
http://arxiv.org/abs/2402.01654
Publikováno v:
Energy Informatics. EI.A 2023. Lecture Notes in Computer Science, vol 14467
Improving energy efficiency in industrial production processes is crucial for competitiveness, and compliance with climate policies. This paper introduces a data-driven approach to identify optimal melting patterns in induction furnaces. Through time
Externí odkaz:
http://arxiv.org/abs/2401.04751