Idling is an aspect of construction equipment usage that is costing a lot of money. Fuel is oneof the major costs for the construction equipment owner and that is why it is important to usethe fuel efficiently. Having these negative effects from idling, Volvo CE is working withdifferent techniques to increase the fuel efficiency and lower the idling time. This thesis workis written for Volvo CE, Eskilstuna at the Uptime Center. Volvo Construction Equipment is amanufacturer of construction equipment and is a part of Volvo Group. The EnvironmentalProtection Agency in Sweden adopted a new climate policy framework during 2017. One ofthe long-term climate targets is to reach zero net greenhouse gas emissions by 2045 at thelatest. Greenhouse gases are constantly affecting the environment and health of people.Leading to climate change and contributing to respiratory diseases from smog and airpollution. Measured data on excavator type EC750 from Volvo CE’s telematics has been usedto develop two regression models in the software Unscrambler x. Before multivariate dataanalysis in Unscrambler X, lot of pre-working was done the measured data in Excel. Meancentering of the data was done in Unscrambler X before principle component analysis andpartial least squares. PCR have the accuracy of 70% with an error rate less than 1% and PLS-R model have a higher accuracy at 89% with an error less than 1%.