Assessing and comparing short term load forecasting performance

Pekka Koponen, Jussi Ikäheimo, Juha Koskela, Christina Brester, Harri Niska

Research output: Contribution to journalReview Articlepeer-review

15 Citations (Scopus)


When identifying and comparing forecasting models, there may be a risk that poorly selected criteria could lead to wrong conclusions. Thus, it is important to know how sensitive the results are to the selection of criteria. This contribution aims to study the sensitivity of the identification and comparison results to the choice of criteria. It compares typically applied criteria for tuning and performance assessment of load forecasting methods with estimated costs caused by the forecasting errors. The focus is on short-term forecasting of the loads of energy systems. The estimated costs comprise electricity market costs and network costs. We estimate the electricity market costs by assuming that the forecasting errors cause balancing errors and consequently balancing costs to the market actors. The forecasting errors cause network costs by overloading network components thus increasing losses and reducing the component lifetime or alternatively increase operational margins to avoid those overloads. The lifetime loss of insulators, and thus also the components, is caused by heating according to the law of Arrhenius. We also study consumer costs. The results support the assumption that there is a need to develop and use additional and case-specific performance criteria for electricity load forecasting.
Original languageEnglish
Article number2054
Number of pages17
Issue number8
Publication statusPublished - 20 Apr 2020
MoE publication typeA2 Review article in a scientific journal


  • Cost analysis
  • Performance criteria
  • Power systems
  • Short term load forecasting


Dive into the research topics of 'Assessing and comparing short term load forecasting performance'. Together they form a unique fingerprint.

Cite this