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  1. In a deregulated market context, industrial consumers often have multiple market participation options available to bid their flexible consumption in electricity markets and thereby reduce their electricity bi...

    Authors: Nicolas Fatras, Zheng Ma and Bo Nørregaard Jørgensen
    Citation: Energy Informatics 2021 4(Suppl 2):48
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  2. In recent years, the crude oil market has entered a new period of development and the core influence factors of crude oil have also been a change. Thus, we develop a new research framework for core influence f...

    Authors: Quanying Lu, Shaolong Sun, Hongbo Duan and Shouyang Wang
    Citation: Energy Informatics 2021 4(Suppl 2):47
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  3. Worldwide buildings are responsible for about 40% of the overall consumption and contribute to an average of 30% percent of the global carbon emissions. Nevertheless, most current buildings lack efficient ener...

    Authors: Simon Soele Madsen, Athila Quaresma Santos and Bo Nørregaard Jørgensen
    Citation: Energy Informatics 2021 4(Suppl 2):46
    Content type: Software Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  4. Limited natural daylight in Nordic Countries means artificial lighting is a critical factor in industrial plant production. The electricity cost of artificial lights accounts for a large percentage of the over...

    Authors: Ying Qu, Anders Clausen and Bo Nørregaard Jørgensen
    Citation: Energy Informatics 2021 4(Suppl 2):44
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  5. The appearance of citizen energy communities demands the conception, development, and testing of new management models for the community and its end-users. Citizen energy communities promote the active partici...

    Authors: Helder Pereira, Luis Gomes, Pedro Faria, Zita Vale and Carlos Coelho
    Citation: Energy Informatics 2021 4(Suppl 2):43
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  6. With the rise in popularity of artificial intelligence, coupled with the growing concern over the environment, there has been a surge in the use of intelligent energy management systems. Additionally, as more ...

    Authors: Bruno Mota, Miguel Albergaria, Helder Pereira, José Silva, Luis Gomes, Zita Vale and Carlos Ramos
    Citation: Energy Informatics 2021 4(Suppl 2):42
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  7. Model Predictive Control (MPC) can be used in the context of building automation to improve energy efficiency and occupant comfort.

    Authors: Anders Clausen, Krzysztof Arendt, Aslak Johansen, Fisayo Caleb Sangogboye, Mikkel Baun Kjærgaard, Christian T. Veje and Bo Nørregaard Jørgensen
    Citation: Energy Informatics 2021 4(Suppl 2):40
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  8. The formulation and implementation of Low-Carbon City Policy (LCCP) is an essential initiative for China to build its low-carbon society. Based on the panel data of 282 prefecture-level cities in China from 20...

    Authors: Qiangyi Li, Mian Yang, Fei Xu, Fuxia Yang and Xiaojian Xiang
    Citation: Energy Informatics 2021 4(Suppl 2):39
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  9. Simulations, especially agent-based simulation, are able to facilitate the investigation of smart energy solutions and business models, and their impacts on the energy system and involved stakeholders. Technic...

    Authors: Kristoffer Christensen, Zheng Ma, Yves Demazeau and Bo Nørregaard Jørgensen
    Citation: Energy Informatics 2021 4(Suppl 2):38
    Content type: Methodology Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  10. The project aims to create a Greenhouse Industry 4.0 Digital Twin software platform for combining the Industry 4.0 technologies (IoT, AI, Big Data, cloud computing, and Digital Twins) as integrated parts of th...

    Authors: Daniel Anthony Howard, Zheng Ma, Christian Veje, Anders Clausen, Jesper Mazanti Aaslyng and Bo Nørregaard Jørgensen
    Citation: Energy Informatics 2021 4(Suppl 2):37
    Content type: Project report Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  11. Digitalization is playing an important role in the emerging practice of Building-to-Grid (B2G). However, the majority of the literature only covers either the grid side, the demand side, or the technical aspec...

    Authors: Zheng Ma, Anders Clausen, Yun Lin and Bo Nørregaard Jørgensen
    Citation: Energy Informatics 2021 4(Suppl 2):36
    Content type: Review Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  12. In recent years, local energy markets have become an important concept in more decentralized energy systems. Implementations in pilot projects provide first insights into different hypotheses and approaches. F...

    Authors: Bent Richter, Armin Golla, Klaus Welle, Philipp Staudt and Christof Weinhardt
    Citation: Energy Informatics 2021 4(Suppl 2):35
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  13. Non-convex scheduling of energy production allows for more complex models that better describe the physical nature of the energy production system. Solutions to non-convex optimization problems can only be gua...

    Authors: Jakob Bjørnskov, Lasse Kappel Mortensen, Konstantin Filonenko, Hamid Reza Shaker, Muhyiddine Jradi and Christian Veje
    Citation: Energy Informatics 2021 4(Suppl 2):34
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  14. In the coming years, several transformations in the transport sector are expected, associated with the increase in electric vehicles (EVs). These changes directly impact electrical distribution systems (EDSs),...

    Authors: Tayenne Dias de Lima, John F. Franco, Fernando Lezama, João Soares and Zita Vale
    Citation: Energy Informatics 2021 4(Suppl 2):33
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  15. Nowadays, society and business rely heavily on Information and Communication Technology (ICT) systems, which are progressing faster than ever. To stay on pace with them, focus is shifted towards integration of...

    Authors: Aisha Umair, Anders Clausen, Yves Demazeau and Bo Nørregaard Jørgensen
    Citation: Energy Informatics 2021 4(Suppl 2):32
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  16. As the number of photovoltaic (PV) power generators connected to the distribution grid increases, applications of on-load tap changers (OLTCs), power conditioning systems, and static reactive power compensator...

    Authors: Marika Nakamura, Shinya Yoshizawa, Hideo Ishii and Yasuhiro Hayashi
    Citation: Energy Informatics 2021 4(Suppl 2):31
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  18. The current transition towards electric mobility implies that a significant portion of electricity is drawn by and stored in the electric vehicle’s (EV) batteries. Vehicle-to-grid (V2G) technologies can potent...

    Authors: Prasad Prakash Malya, Laura Fiorini, Mohammadhadi Rouhani and Marco Aiello
    Citation: Energy Informatics 2021 4(Suppl 2):29
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  19. Modeling and simulation have been popularly used for system investigation and evaluation. With proper evaluation, distribution system operators can decide on a reasonable course of action for encouraging energ...

    Authors: Magnus Værbak, Zheng Ma, Yves Demazeau and Bo N. Jørgensen
    Citation: Energy Informatics 2021 4(Suppl 2):28
    Content type: Methodology Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  20. Digitalisation potentials in the electricity sector are frequently discussed around the world, especially in Europe which has the largest interconnected continental electricity grid in the world. The analysis ...

    Authors: Thorsten Hack, Zheng Ma and Bo Nørregaard Jørgensen
    Citation: Energy Informatics 2021 4(Suppl 2):27
    Content type: Review Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  22. In order to evaluate the effectiveness of innovative services and technologies spanning over the ICT-enabled power system, realistic models are required. Although nowadays there is a wide range of power system...

    Authors: Anna Volkova, Jonas Terzer and Hermann de Meer
    Citation: Energy Informatics 2021 4(Suppl 3):25
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  23. Nations and companies are forced to reduce CO2 emissions and decelerate global warming. In this development, the transition of the heating sector is still in its infancy despite the relatively large share of ther...

    Authors: Thomas Kohne, Lukas Theisinger, Jan Scherff and Matthias Weigold
    Citation: Energy Informatics 2021 4(Suppl 3):24
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  24. The transport sector is responsible for 25% of global CO2 emissions. To reduce emissions in the EU, a shift from the currently 745,000 operating public buses to electric buses (EBs) is expected in the coming year...

    Authors: Enrico Toniato, Prakhar Mehta, Stevan Marinkovic and Verena Tiefenbeck
    Citation: Energy Informatics 2021 4(Suppl 3):23
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  25. Due to a steeply growing number of energy assets, the increasingly decentralized and segmented energy sector fuels the potential for new digital use cases. In this paper, we focus our attention on the applicat...

    Authors: Alexander Djamali, Patrick Dossow, Michael Hinterstocker, Benjamin Schellinger, Johannes Sedlmeir, Fabiane Völter and Lukas Willburger
    Citation: Energy Informatics 2021 4(Suppl 3):22
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  26. Future smart grids can and will be subject of systematic attacks that can result in monetary costs and reduced system stability. These attacks are not necessarily malicious, but can be economically motivated a...

    Authors: Thomas Wolgast, Eric MSP Veith and Astrid Nieße
    Citation: Energy Informatics 2021 4(Suppl 3):21
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

    The Correction to this article has been published in Energy Informatics 2023 6:11

  27. Industrial enterprises represent a significant portion of electricity consumers with the potential of providing demand-side energy flexibility from their production processes and on-site energy assets. Methods...

    Authors: Rahul Khatri, Michael Schmidt and Rainer Gasper
    Citation: Energy Informatics 2021 4(Suppl 3):20
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  28. The ongoing energy transition requires the planning of low-emission municipal energy supply systems. These systems comprise distribution grids for electricity, gas, and heat, as well as energy conversion units...

    Authors: Christopher Hauk, Andreas Ulbig and Albert Moser
    Citation: Energy Informatics 2021 4(Suppl 3):19
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  29. With increasing digitization, new opportunities emerge concerning the availability and use of data in the energy sector. A comprehensive literature review shows an abundance in available unsupervised clusterin...

    Authors: Alexander Bogensperger and Yann Fabel
    Citation: Energy Informatics 2021 4(Suppl 3):18
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  30. Battery electric modeling is a central aspect to improve the battery development process as well as to monitor battery system behavior. Besides conventional physical models, machine learning methods show great...

    Authors: Felix Heinrich, Patrick Klapper and Marco Pruckner
    Citation: Energy Informatics 2021 4(Suppl 3):17
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  31. Due to the increasing battery capacity of electric vehicles, European standard electricity socket-outlets at households are not enough for a full charge cycle overnight. Hence, people tend to install (semi-) f...

    Authors: Dominik Danner and Hermann de Meer
    Citation: Energy Informatics 2021 4(Suppl 3):16
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  32. Grey-box modelling combines physical and data-driven models to benefit from their respective advantages. Neural ordinary differential equations (NODEs) offer new possibilities for grey-box modelling, as differ...

    Authors: Jennifer Brucker, Wolfgang G. Bessler and Rainer Gasper
    Citation: Energy Informatics 2021 4(Suppl 3):15
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  33. Photovoltaic (PV) systems are considered an important pillar in the energy transition because they are usually located near the consumers. In order to provide accurate PV system models, e.g. for microgrid simu...

    Authors: Philipp Danner and Hermann de Meer
    Citation: Energy Informatics 2021 4(Suppl 3):14
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  34. The transformation of the energy system towards volatile renewable generation, increases the need to manage decentralized flexibilities more efficiently. For this, precise forecasting of uncontrollable electri...

    Authors: Arne Groß, Antonia Lenders, Friedhelm Schwenker, Daniel A. Braun and David Fischer
    Citation: Energy Informatics 2021 4(Suppl 3):13
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  35. To tackle the climate crisis, the European energy strategy relies on consumers taking ownership of the energy transition, accelerating decarbonisation through investments in low-carbon technologies and ensurin...

    Authors: Matteo Barsanti, Jan Sören Schwarz, Lionel Guy Gérard Constantin, Pranay Kasturi, Claudia R. Binder and Sebastian Lehnhoff
    Citation: Energy Informatics 2021 4(Suppl 3):12
    Content type: Research Published on:

    This article is part of a Supplement: Volume 4 Supplement 3

  37. Residential solar installations are becoming increasingly popular among homeowners. However, renters and homeowners living in shared buildings cannot go solar as they do not own the shared spaces. Community-ow...

    Authors: Stephen Lee, Prashant Shenoy, Krithi Ramamritham and David Irwin
    Citation: Energy Informatics 2021 4:10
    Content type: Research Published on:

  39. In a modern smart energy system with increased penetration of renewable energy resources, the amount of data from various sources is growing significantly. Such systems require complex algorithms and controlli...

    Authors: Maliheh Haghgoo, Alberto Dognini, Thomas Storek, Radu Plamanescu, Ulrike Rahe, Stefan Gheorghe, Mihaela Albu, Antonello Monti and Dirk Müller
    Citation: Energy Informatics 2021 4:8
    Content type: Project report Published on:

  40. Local energy markets (LEMs) are well suited to address the challenges of the European energy transition movement. They incite investments in renewable energy sources (RES), can improve the integration of RES i...

    Authors: Samrat Bose, Enrique Kremers, Esther Marie Mengelkamp, Jan Eberbach and Christof Weinhardt
    Citation: Energy Informatics 2021 4:7
    Content type: Research Published on:

  41. With the advent of the smart grid era, the electrical grid is becoming a complex network in which different technologies coexist to bring benefits to both customers and operators. This paper presents a methodo...

    Authors: Pedro Faria, Fernando Lezama, Zita Vale and Mahsa Khorram
    Citation: Energy Informatics 2021 4:6
    Content type: Methodology Published on:

  42. Distributed generators (D.G.’s) enable us to generate, supply and be self-reliant on power while also allows us to supply power to meet the demand through virtual power plants. The virtual power plants also he...

    Authors: Sampath Kumar Venkatachary, Annamalai Alagappan and Leo John Baptist Andrews
    Citation: Energy Informatics 2021 4:5
    Content type: Research Published on:

  43. In recent years, it has become increasingly feasible to achieve important improvements of sustainability by integrating sustainable urbanism with smart urbanism thanks to the proven role and synergic potential...

    Authors: Simon Elias Bibri
    Citation: Energy Informatics 2021 4:4
    Content type: Research Published on:

  44. Prudent and meaningful performance evaluation of algorithms is essential for the progression of any research field. In the field of Non-Intrusive Load Monitoring (NILM), performance evaluation can be conducted...

    Authors: Christoph Klemenjak, Stephen Makonin and Wilfried Elmenreich
    Citation: Energy Informatics 2021 4:3
    Content type: Short communication Published on:

  45. A building management system (BMS) is generally defined as the ‘Brain’ of the building. Building management systems aid in improving occupant comfort and productivity and, enhance the operational efficiency of...

    Authors: Muhyiddine Jradi, Niels Boel, Bo Eskerod Madsen, Jonas Jacobsen, Julie Strandesen Hooge and Lars Kildelund
    Citation: Energy Informatics 2021 4:2
    Content type: Project report Published on:

  46. Non-urgent high energy-consuming residential appliances, such as pool pumps, may significantly affect the peak to average ratio (PAR) of energy demand in smart grids. Effective load monitoring is an important ...

    Authors: Luyao Ma, Qingyu Meng, Shirui Pan and Ariel Liebman
    Citation: Energy Informatics 2021 4:1
    Content type: Research Published on:

  47. Originally proposed as an alternative to traditional energy planning methodology in the 1970s, backcasting is increasingly applied in futures studies related to sustainability, as it is viewed as a natural ste...

    Authors: Simon Elias Bibri
    Citation: Energy Informatics 2020 3:31
    Content type: Methodology Published on:

  48. Cyber-attacks on power-related IT and OT infrastructures can have disastrous consequences for individuals, regions, as well as whole nations. In order to respond to these threats, the cyber security assessment...

    Authors: Simon Hacks, Sotirios Katsikeas, Engla Ling, Robert Lagerström and Mathias Ekstedt
    Citation: Energy Informatics 2020 3:30
    Content type: Software Published on:

  49. The IoT and big data technologies have become essential to the functioning of both smart cities and sustainable cities, and thus, urban operational functioning and planning are becoming highly responsive to a ...

    Authors: Simon Elias Bibri and John Krogstie
    Citation: Energy Informatics 2020 3:29
    Content type: Research Published on:

  50. Power system operation increasingly relies on numerous day-ahead forecasts of local, disaggregated loads such as single buildings, microgrids and small distribution system areas. Various data-driven models can...

    Authors: Oleg Valgaev, Friederich Kupzog and Hartmut Schmeck
    Citation: Energy Informatics 2020 3:28
    Content type: Research Published on:
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