Data-driven method for providing feedback to households on electricity consumption

• DOI: 10.1109/issnip.2014.6827661
• Publication Date: 2014-06-20T21:55:33Z
• Authors: Matti Mononen; Jukka Saarenpaa; Markus Johansson; Harri Niska
• Keywords: Consumption

The building sector is a major energy consumer and CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emitter, being responsible for approximately 40% of the total consumption in EU. Active demand side participation electricity customers seen as crucial management reduction sector's emissions. However, today's markets are often lacking strong incentives active participation. Understandable customer specific comparison information easy-to-use displays can be used to influence behaviour encourage This paper presents data-driven method producing household level information, based on hourly interval smart meter data additional information. Firstly, segmented by heating system type housing, followed weighted clustering that refine group. In clustering, normalized load profiles together with properties dwelling residents considered, weights assigned according how much they contribute consumption. this paper, initial experimental results presented discussed, future development ideas laid out. under testing part Finnish SGEM-project.