Energy personas in Danish households

• URL: http://arxiv.org/abs/2505.07408v1
• Date: Mon, 12 May 2025 10:02:03 GMT
• Title: Energy personas in Danish households
• Authors: Nadine Sandjo Tchatchoua, Line Valdorff Madsen, Anders Rhiger Hansen,
• Abstract summary: This paper presents various ways householders use a technological artifact for the real-time monitoring of renewable energy provision.<n>In Denmark, Ewii, previously Barry, is a Danish energy supplier which provides householders with an opportunity to monitor energy sources in real time.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Technologies to monitor the provision of renewable energy are part of emerging technologies to help address the discrepancy between renewable energy production and its related usage in households. This paper presents various ways householders use a technological artifact for the real-time monitoring of renewable energy provision. Such a monitoring thus affords householders with an opportunity to adjust their energy consumption according to renewable energy provision. In Denmark, Ewii, previously Barry, is a Danish energy supplier which provides householders with an opportunity to monitor energy sources in real time through a technological solution of the same name. This paper use provision afforded by Ewii as a case for exploring how householders organize themselves to use a technological artefact that supports the monitoring of energy and its related usage. This study aims to inform technology design through the derivation of four personas. The derived personas highlight the differences in energy monitoring practices for the householders and their engagement. These personas are characterised as dedicated, organised, sporadic, and convenient. Understanding these differences in energy monitoring practice using the technological artefact form a solid element in the design of future energy technologies that interfere with the everyday practices and energy consumption for households. This is paramount for future energy related technology design, and for the clarification of usage assumptions that are embedded in the rollout of energy related technology as a country such as Denmark moves through its green transition.

Related papers

• RAI4IoE: Responsible AI for Enabling the Internet of Energy [40.87183313830612]
  This paper plans to develop an Equitable and Responsible AI framework with enabling techniques and algorithms for the Internet of Energy (IoE) The vision of our project is to ensure equitable participation of the community members and responsible use of their data in IoE so that it could reap the benefits of advances in AI to provide safe, reliable and sustainable energy services.
  arXiv  Detail & Related papers  (2023-09-20T23:45:54Z)
• Non-Intrusive Electric Load Monitoring Approach Based on Current Feature Visualization for Smart Energy Management [51.89904044860731]
  We employ computer vision techniques of AI to design a non-invasive load monitoring method for smart electric energy management. We propose to recognize all electric loads from color feature images using a U-shape deep neural network with multi-scale feature extraction and attention mechanism.
  arXiv  Detail & Related papers  (2023-08-08T04:52:19Z)
• A Federated learning model for Electric Energy management using Blockchain Technology [0.0]
  Energy shortfall and electricity load shedding are the main problems for developing countries. The improved energy management and use of renewable sources can be significant to resolve energy crisis. It is necessary to increase the use of renewable energy sources to meet the increasing energy demand due to high prices of fossil-fuel based energy.
  arXiv  Detail & Related papers  (2023-07-18T09:00:26Z)
• Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions [75.81393574964038]
  This article presents a comprehensive overview of the digital twin technology and its capability levels, with a specific focus on its applications in the wind energy industry. It consolidates the definitions of digital twin and its capability levels on a scale from 0-5; 0-standalone, 1-descriptive, 2-diagnostic, 3-predictive, 4-prescriptive, 5-autonomous.
  arXiv  Detail & Related papers  (2023-04-16T18:38:28Z)
• High-resolution synthetic residential energy use profiles for the United States [12.699816591560712]
  We release a large-scale, synthetic, residential energy-use dataset for the residential sector across the contiguous United States. The data comprises of hourly energy use profiles for synthetic households, disaggregated into Thermostatically Controlled Loads (TCL) and appliance use.
  arXiv  Detail & Related papers  (2022-10-14T20:55:10Z)
• Intelligent Energy Management Systems -- A Review [0.0]
  People consume electricity in order to use home/work appliances and devices and also reach certain levels of comfort while working or being at home. Confronting such a problem efficiently will affect both the environment and our society. Monitoring energy consumption in real-time, changing energy wastage behavior of occupants and using automations with incorporated energy savings scenarios are ways to decrease global energy footprint.
  arXiv  Detail & Related papers  (2022-05-16T20:10:20Z)
• Intelligent edge-based recommender system for internet of energy applications [2.1874189959020423]
  This paper presents the full integration of a proposed energy efficiency framework into the Home-Assistant platform using an edge-based architecture. End-users can visualize their consumption patterns as well as ambient environmental data using the Home-Assistant user interface. More notably, explainable energy-saving recommendations are delivered to end-users in the form of notifications via the mobile application.
  arXiv  Detail & Related papers  (2021-11-25T23:28:14Z)
• Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs [62.91362897985057]
  An Intelligent IoT Environment (iIoTe) is comprised of heterogeneous devices that can collaboratively execute semi-autonomous IoT applications. This paper provides a state-of-the-art overview of these technologies and illustrates their functionality and performance, with special attention to the tradeoff among resources, latency, privacy and energy consumption.
  arXiv  Detail & Related papers  (2021-10-04T19:41:42Z)
• Adversarial Energy Disaggregation for Non-intrusive Load Monitoring [78.47901044638525]
  Energy disaggregation, also known as non-intrusive load monitoring (NILM), challenges the problem of separating the whole-home electricity usage into appliance-specific individual consumptions. Recent advances reveal that deep neural networks (DNNs) can get favorable performance for NILM. We introduce the idea of adversarial learning into NILM, which is new for the energy disaggregation task.
  arXiv  Detail & Related papers  (2021-08-02T03:56:35Z)
• Appliance Operation Modes Identification Using Cycles Clustering [3.328276101150529]
  Internet of Things (IoT) and Machine Learning (ML) deliver techniques that have the potential to efficiently conserve energy. SHEMSs have the potential to contribute in energy conservation through the application of Demand Response (DR) in the residential sector.
  arXiv  Detail & Related papers  (2021-01-25T23:25:45Z)
• Challenges and Prospects of Negawatt Trading in Light of Recent Technological Developments [69.98112767404695]
  We review the challenges and prospects of negawatt trading in light of recent technological advancements. Grid interactive buildings and distributed ledger technologies can ensure active participation and fair pricing.
  arXiv  Detail & Related papers  (2020-07-16T13:41:14Z)
• Towards a Peer-to-Peer Energy Market: an Overview [68.8204255655161]
  This work focuses on the electric power market, comparing the status quo with the recent trend towards the increase in distributed self-generation capabilities by prosumers. We introduce a potential multi-layered architecture for a Peer-to-Peer (P2P) energy market, discussing the fundamental aspects of local production and local consumption as part of a microgrid. To give a full picture to the reader, we also scrutinise relevant elements of energy trading, such as Smart Contract and grid stability.
  arXiv  Detail & Related papers  (2020-03-02T20:32:10Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.