Conference paper Open Access

Intelligent energy feedback: Tailoring advice based on consumer values

Bent, Caitlin; Kmetty, Zoltán


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/4c54b898-0e2f-4587-a471-1af50769c497/9-182-17_Bent.pdf"
      }, 
      "checksum": "md5:93dea821272e581f7e9aa61cac03ece0", 
      "bucket": "4c54b898-0e2f-4587-a471-1af50769c497", 
      "key": "9-182-17_Bent.pdf", 
      "type": "pdf", 
      "size": 785244
    }
  ], 
  "owners": [
    33291
  ], 
  "doi": "10.5281/zenodo.820511", 
  "stats": {
    "version_unique_downloads": 22.0, 
    "unique_views": 38.0, 
    "views": 40.0, 
    "version_views": 40.0, 
    "unique_downloads": 22.0, 
    "version_unique_views": 38.0, 
    "volume": 18845856.0, 
    "version_downloads": 24.0, 
    "downloads": 24.0, 
    "version_volume": 18845856.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.820511", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.820510", 
    "bucket": "https://zenodo.org/api/files/4c54b898-0e2f-4587-a471-1af50769c497", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.820510.svg", 
    "html": "https://zenodo.org/record/820511", 
    "latest_html": "https://zenodo.org/record/820511", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.820511.svg", 
    "latest": "https://zenodo.org/api/records/820511"
  }, 
  "conceptdoi": "10.5281/zenodo.820510", 
  "created": "2017-06-28T12:09:50.496830+00:00", 
  "updated": "2020-01-20T14:23:13.346871+00:00", 
  "conceptrecid": "820510", 
  "revision": 5, 
  "id": 820511, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.820511", 
    "description": "<p>With the roll-out of smart meters across the EU comes the opportunity for more tailored, informative feedback to be offered to domestic consumers regarding their energy consumption. To maximise the energy saving potential of this feedback, it must be accompanied by relevant, interesting advice. In this paper, we explore a mechanism for more effectively tailoring such advice, which is being developed by the Natconsumers project. There are two strands to developing tailored advice: determining what advice to give someone, and determining how to give it. In this paper, we focus on the latter: based upon their interests and motivations, how should advice be framed for different types of people? In what terms should the message be communicated, and in what tone? To investigate this, we have conducted a survey of 4,000 people across four European countries, examining their attitudes, values and demographics. Using these results, we present an attitudinal segmentation model, which allows us to identify what types of messages will be most resonant to different segments of energy consumers. In the wider Natconsumers project, this will be linked with additional segmentation models of load profiles and household characteristics/demographics in order to create a mechanism for the generation of tailored energy efficiency advice across Europe.</p>", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "title": "Intelligent energy feedback: Tailoring advice based on consumer values", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "820510"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "820511"
          }
        }
      ]
    }, 
    "grants": [
      {
        "code": "657672", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::657672"
        }, 
        "title": "NATural Language Energy for Promoting CONSUMER Sustainable Behaviour", 
        "acronym": "NATCONSUMERS", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }
    ], 
    "keywords": [
      "attitudes", 
      "behavioural change", 
      "consumer behaviour", 
      "customer feedback", 
      "drivers", 
      "EU project", 
      "in-home feedback", 
      "smart metering", 
      "advice"
    ], 
    "publication_date": "2017-06-28", 
    "creators": [
      {
        "affiliation": "EST", 
        "name": "Bent, Caitlin"
      }, 
      {
        "affiliation": "Ariosz/ E\u00f6tv\u00f6s Lorand University", 
        "name": "Kmetty, Zolt\u00e1n"
      }
    ], 
    "meeting": {
      "dates": "29 May\u20133 June 2017", 
      "title": "eceee 2017 Summer Study on energy efficiency", 
      "acronym": "eceee", 
      "url": "http://www.eceee.org/summerstudy/", 
      "session": "9", 
      "place": "Presqu'\u00eele de Giens, France"
    }, 
    "access_right": "open", 
    "resource_type": {
      "subtype": "conferencepaper", 
      "type": "publication", 
      "title": "Conference paper"
    }, 
    "related_identifiers": [
      {
        "scheme": "isbn", 
        "identifier": "978-91-983878-1-0", 
        "relation": "isPartOf"
      }, 
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.820510", 
        "relation": "isVersionOf"
      }
    ]
  }
}
40
24
views
downloads
All versions This version
Views 4040
Downloads 2424
Data volume 18.8 MB18.8 MB
Unique views 3838
Unique downloads 2222

Share

Cite as