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ORCIDEnergy Informatics, Volume 5
Volume 5, 2022
- Ashani Wickramasinghe
, Saman Muthukumarana, Dan Loewen, Matt Schaubroeck:
Temperature clusters in commercial buildings using k-means and time series clustering. 1 - Zheng Ma:
The importance of systematical analysis and evaluation methods for energy business ecosystems. 2 - Armin Stocker, Ali Alshawish, Martin C. Bor, John Edward Vidler, Antonios Gouglidis, Andrew Scott, Angelos K. Marnerides, Hermann de Meer, David Hutchison:
An ICT architecture for enabling ancillary services in Distributed Renewable Energy Sources based on the SGAM framework. - Alexios Lekidis:
Federated learning for 5G-enabled infrastructure inspection with UAVs. - Mahwish Anwar, Lars Lundberg, Anton Borg:
Improving anomaly detection in SCADA network communication with attribute extension. - Andreas Unterweger, Fabian Knirsch, Dominik Engel, Daria Musikhina, Ammar Alyousef, Hermann de Meer:
An analysis of privacy preservation in electric vehicle charging. - Sonja Klingert, Jong-Won Lee:
Using real mobility patterns to assess the impact of 100% electrified mobility in a German city. - Andreas Weigert:
Identification and classification of heat pump problems in the field and their implication for a user-centric problem recognition. - Martha Maria Frysztacki, Gereon Recht, Tom Brown:
A comparison of clustering methods for the spatial reduction of renewable electricity optimisation models of Europe. - Ahmed Idries, John Krogstie, Jayaprakash Rajasekharan:
Challenges in platforming and digitizing decentralized energy services. - Siyuan Dong, Jun Cao, David Flynn, Zhong Fan:
Cybersecurity in smart local energy systems: requirements, challenges, and standards. - Vahid Aryai, Mark Goldsworthy:
Controlling electricity storage to balance electricity costs and greenhouse gas emissions in buildings. - Vivian Sultan, Arun Aryal, Hao Chang, Jirí Král:
Integration of EVs into the smart grid: a systematic literature review. - Jan Bozionek, Thomas Wolgast, Astrid Nieße:
Design and evaluation of a multi-level reactive power market. - Maria C. G. Hart, Sarah Eckhoff, Michael H. Breitner:
Accessible decision support for sustainable energy systems in developing countries. - Jonathan Brandt, Emilie Frost, Stephan Ferenz, Paul Hendrik Tiemann, Astrid L. Bensmann, Richard Hanke-Rauschenbach, Astrid Nieße:
Choosing the right model for unified flexibility modeling. - Kaushik Sadhu, Kawsar Haghshenas, Mohammadhadi Rouhani, Marco Aiello:
Optimal joint operation of coupled transportation and power distribution urban networks. - Lars Wederhake, Simon Wenninger, Christian Wiethe, Gilbert Fridgen:
On the surplus accuracy of data-driven energy quantification methods in the residential sector. - Zuzana Krivohlava, Stanislav Chren, Bruno Rossi:
Failure and fault classification for smart grids. - Laura Fiorini, Marco Aiello:
Automatic optimal multi-energy management of smart homes. - Lars Wederhake, Simon Schlephorst, Florian Zyprian:
Make or buy: IT-based decision support for grid imbalance settlement in smarter electricity networks. - Sascha Gritzbach, Dominik Stampa, Matthias Wolf:
Solar farm cable layout optimization as a graph problem. - Dennis Lottis, Anna Kallert:
Simulative comparison of concepts for simultaneous control of heat flow and outlet temperature of heat exchangers for highly flexible use in the test facility "District LAB". - Ömer Sen, Dennis van der Velde, Maik Lühman, Florian Sprünken, Immanuel Hacker, Andreas Ulbig, Michael Andres, Martin Henze:
On specification-based cyber-attack detection in smart grids. - Benedikt Grosch, Heiko Ranzau, Bastian Dietrich, Thomas Kohne, Daniel Fuhrländer-Völker, Johannes Sossenheimer, Martin Lindner, Matthias Weigold:
A framework for researching energy optimization of factory operations. - Paul Eitel, Peter Stolle:
A machine learning approach to model the future distribution of e-mobility and its impact on the power grid. - Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer:
Boost short-term load forecasts with synthetic data from transferred latent space information. - Tobias Blanke, Katharina S. Schmidt, Joachim Göttsche, Bernd Döring, Jérôme Frisch, Christoph van Treeck:
Time series aggregation for energy system design: review and extension of modelling seasonal storages. - Anke Weidlich, Dirk Neumann, Philipp Staudt, Gunther Gust, Mirko Schäfer:
Welcome message from the organizers. - Dominik Danner, Hermann de Meer:
Max-consensus protocol to determine the regulated node in distributed voltage regulation. - Dejan Radovanovic, Andreas Unterweger, Günther Eibl, Dominik Engel, Johannes Reichl:
How unique is weekly smart meter data? - Matthias Babel, Vincent Gramlich, Marc-Fabian Körner, Johannes Sedlmeir, Jens Strüker, Till Zwede:
Enabling end-to-end digital carbon emission tracing with shielded NFTs. - Charitha Buddhika Heendeniya, Lorenzo Nespoli:
A stochastic deep reinforcement learning agent for grid-friendly electric vehicle charging management. - Leo Semmelmann, Sarah Henni, Christof Weinhardt:
Load forecasting for energy communities: a novel LSTM-XGBoost hybrid model based on smart meter data. - Elisabeth Springmann, Andreas Bruckmeier, Mathias Müller:
Performance evaluation of German smart meter infrastructure for load management through grid operators. - Maximilian Beichter, Kaleb Phipps, Martha Maria Frysztacki, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig:
Net load forecasting using different aggregation levels. - Batoul Hage Hassan, Anand Narayan, Michael Brand, Sebastian Lehnhoff:
Virtualization for performance guarantees of state estimation in cyber-physical energy systems. - Ramin Bahmani, Christine van Stiphoudt, Sergio Potenciano Menci, Michael Schöpf, Gilbert Fridgen:
Optimal industrial flexibility scheduling based on generic data format. - Paul Hendrik Tiemann, Marvin Nebel-Wenner, Stefanie Holly, Emilie Frost, Adrian Jimenez Martinez, Astrid Nieße:
Operational flexibility for multi-purpose usage of pooled battery storage systems. - Clara Büttner, Jonathan Amme, Julian Endres, Aadit Malla, Birgit Schachler, Ilka Cußmann:
Open modeling of electricity and heat demand curves for all residential buildings in Germany. - Abstracts of the 11th DACH+ Conference on Energy Informatics.
- Abstract papers from the Energy Informatics.Academy Conference 2022 (EI.A 2022).
- Petrit Vuthi, Irene Peters, Jan Sudeikat:
Agent-based modeling (ABM) for urban neighborhood energy systems: literature review and proposal for an all integrative ABM approach. - Nicolas Fatras, Zheng Ma, Bo Nørregaard Jørgensen:
An agent-based modelling framework for the simulation of large-scale consumer participation in electricity market ecosystems. - Rui Carvalho, Gabriel Santos, Zita Vale:
Open-access tools for the modelling and simulation of electricity markets. - Md Anam Raihan, Kuntal Chattopadhyay, Aviruch Bhatia, Vishal Garg, Aftab M. Hussain:
SGLSim: tool for smart glazing energy performance analysis. - Niccolò Zangrando, Piero Fraternali, Marco Petri, Nicolò Oreste Pinciroli Vago, Sergio Luis Herrera Gonzalez:
Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms. - Helder Pereira, Luis Gomes, Zita Vale:
Peer-to-peer energy trading optimization in energy communities using multi-agent deep reinforcement learning. - Malte Chlosta, Jianlei Liu, Rafael Poppenborg, Richard Lutz, Kevin Förderer, Thorsten Schlachter, Veit Hagenmeyer:
An adapter-based architecture for evaluating candidate solutions in energy system scheduling. - Dharani Tejaswini, Pavan Ramapragada, Sraavani Gundepudi, Prabhakar Rao Kandukuri, Vishal Garg, Jyotirmay Mathur, Rajat Gupta:
Residential electricity current and appliance dataset for AC-event detection from Indian dwellings. - Kuntal Chattopadhyay, Vishal Garg, Praveen Paruchuri, Jyotirmay Mathur, Srinivas Valluri:
Impact of COVID-19 on energy consumption in a residential complex in Hyderabad, India. - Sebastian Pütz, Benjamin Schäfer, Dirk Witthaut, Johannes Kruse:
Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI. - Jonas Vedsted Sørensen, Zheng Ma, Bo Nørregaard Jørgensen:
Potentials of game engines for wind power digital twin development: an investigation of the Unreal Engine. - Nicolai Bo Vanting, Zheng Ma, Bo Nørregaard Jørgensen:
Evaluation of neural networks for residential load forecasting and the impact of systematic feature identification. - Simon Hedegård Jessen, Zheng Ma, Francisco Danang Wijaya, Juan C. Vasquez, Josep M. Guerrero, Bo Nørregaard Jørgensen:
Identification of natural disaster impacted electricity load profiles with k means clustering algorithm. - Zheng Ma, Kristoffer Christensen, Thomas Finch Rasmussen, Bo Nørregaard Jørgensen:
Ecosystem-driven business opportunity identification method and web-based tool with a case study of the electric vehicle home charging energy ecosystem in Denmark. - Abbas M. Al-Ghaili, Hairoladenan Kasim, Hazleen Aris, Naif Mohammed Al-Hada:
Can electric vehicles be an alternative for traditional fossil-fuel cars with the help of renewable energy sources towards energy sustainability achievement? - Troels S. Nielsen, Jens S. P. Thomsen, Athila Q. Santos, Jutte Kaad:
Framework for dimensioning battery energy storage systems with applied multi-tasking strategies in microgrids. - Luca Barbierato, Pietro Rando Mazzarino, Marco Montarolo, Alberto Macii, Edoardo Patti, Lorenzo Bottaccioli:
A comparison study of co-simulation frameworks for multi-energy systems: the scalability problem. - Christian Skafte Beck Clausen, Zheng Grace Ma, Bo Nørregaard Jørgensen:
Can we benefit from game engines to develop digital twins for planning the deployment of photovoltaics? - Surya Venkatesh Pandiyan, Jayaprakash Rajasekharan:
Recursive training based physics-inspired neural network for electric water heater modeling. - Claudia De Vizia, Alberto Macii, Edoardo Patti, Lorenzo Bottaccioli:
A hierarchical and modular agent-oriented framework for power systems co-simulations. - Daniel Anthony Howard, Zheng Ma, Bo Nørregaard Jørgensen:
Application of energy informatics in Danish research projects. - Zheng Ma:
Survey data on university students' experience of energy control, indoor comfort, and energy flexibility in campus buildings. - Zheng Ma, Athila Q. Santos, Hamid Reza Shaker, Salman Yussof, Poul Møller Eriksen, Jens Hornum, Bo Nørregaard Jørgensen:
CELSIUS: an international project providing integrated, systematic, cost-effective large-scale IoT solutions for improving energy efficiency of medium- and large-sized buildings. - Marco Castangia, Angelica Urbanelli, Awet Abraha Girmay, Christian Camarda, Enrico Macii, Edoardo Patti:
Non-intrusive load monitoring techniques for the disaggregation of ON/OFF appliances. - Gabriel Dengler, Peter Bazan, Reinhard German:
Simulation of a Cellular Energy System including hierarchies and neighborhoods. - Michele Albano, Nicola Cibin, Hessam Golmohamadi, Arne Skou:
Probabilistic Flexoffers in residential heat pumps considering uncertain weather forecast. - Pavan Ramapragada, Dharani Tejaswini, Vishal Garg, Jyotirmay Mathur, Rajat Gupta:
Investigation on air conditioning load patterns and electricity consumption of typical residential buildings in tropical wet and dry climate in India. - Zheng Ma, Birte Holst Jørgensen, Guangchao Chen, Henrik Madsen, Hongbo Duan, Luiz Carlos Pereira da Silva, Bo Nørregaard Jørgensen:
Summary of Energy Informatics.Academy Conference 2022.
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