Electricity has always had a great impact on our daily life. It plays an important role in every aspect of society, economy, and technology of every nation. Sweden among other Nordic countries has always strived to improve its energy landscape. Currently, Nuclear power and Hydroelectricity are the main methods of energy generation in this country. Together with exploring new ways of generating energy without dependency on nuclear power, Sweden also expresses an interest in encouraging households and companies to use energy in an efficient way in order to reduce energy consumption and its associated costs. The scope of this thesis is to review and evaluate various state-of-the-art data analysis tools and algorithms to generate a meaningful consumer behaviour model based on the electricity usage data collected from households in several areas of Sweden. Understanding the demand characteristics for electricity would give electric suppliers more power in shaping their marketing strategies as well as setting appropriate electricity pricing.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:his-5236 |
| Date | January 2011 |
| Creators | Do, Yen Thi Kim |
| Publisher | Högskolan i Skövde, Institutionen för kommunikation och information |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.002 seconds