Improving Energy Performance Indicators with the Help of Multivariable Linear Regression

다국어 초록 (Multilingual Abstract)

Companies with energy management systems face difficulties in practice to determine an improvement in energy efficiency in a way that can be verified. This is due to a variety of influences on energy consumption, such as differing product portfolios, rising production volumes, and climatic influences. With the aid of multivariable linear regression analysis, the relationship between a company's electricity consumption and potential influencing factors is examined step by step. The result is a mathematical formula that is at once the energy‐related baseline and the new energy performance indicator (EnPI) for electricity as an energy source.
By multivariable linear regression analysis, the relationship between a company's electricity consumption and potential influencing factors is examined stepwise. The result is a mathematical formula that is both the new energy baseline and the new energy performance indicator for electricity. The model is well‐suited in companies whose energy consumption is subject to a large number of influencing variables.