Load Control in Real Time Price Prediction

Irisa, Arsi, 2017

Type of Thesis Master Thesis
Client
Supervisor Wache, Holger
Views: 21
Switzerland’s electricity consumption in 2014 was 59.3 TWh (Abrell, 2016) and continues to rise every year. As residential needs for electrical energy increase, so does the demand (Abrell, 2016; Filippini, 2011; IEA, 2012; Zhao et al, 2013). As a result, the necessary energy for meeting the demand cannot be provided by the power grid (Abrell, 2016; Filippini, 2011). The Swiss government has tried by applying new methods in price calculation for electricity to help shift the loads to different times(Abrell, 2016). Nevertheless, over-loadings and blackouts occur several times per year creating high maintenance costs (Abrell, 2016; Filippini, 2011), for the production companies which reflects to the users’ payments as well. On the one hand consumers demand aims at electrical energy of high quality and reliability (Abrell,2016), but on the other hand producers’ aim in less maintenance costs. A clear solution is needed for the demand and supply of Switzerland’s grid to balance....
Studyprogram: Business Information Systems (Master)
Keywords
Confidentiality: vertraulich
Type of Thesis
Master Thesis
Authors
Irisa, Arsi
Supervisor
Wache, Holger
Publication Year
2017
Thesis Language
English
Confidentiality
Confidential
Studyprogram
Business Information Systems (Master)
Location
Olten