ENBIS-21 Online Conference

Session

Modelling 4

PS63_C14

15 Sept 2021, 12:00

Online

Conveners

Modelling 4

• Chair: Murat Kulahci

28. PREDICTION OF PRECIPITATION THROUGH WEATHER VARIABLES BY FUNCTIONAL REGRESSION MODELS

Mr Angel Omar Llambo Delgado (Departamento de Matemática, Escuela Politécnica Nacional), Danilo Leandro Loza Quispillo (Departamento de Matemática, Escuela Politécnica Nacional)

15/09/2021, 12:00

Modelling

In this work, we are going to predict precipitation through the use of different functional regression models (FRM) and the best fit is selected between: Functional Linear Model with Basic Representation (FLR), Functional Linear Model with Functional Basis by Principal Components (PC), Functional Linear Model with Functional Basis of Principal Components by Partial Least Squares (PLS) and the...

47. MODELLING WIND TURBINE POWER PRODUCTION WITH FUZZY LINEAR REGRESSION METHODS

Mr SADIK OZKAN GUNDUZ (HACETTEPE UNIVERSITY)

15/09/2021, 12:20

Modelling

Wind energy is an immensely popular renewable energy source, due to the increase in environmental awareness, the decrease in the number of fossil fuels, and the increase in costs. Therefore, the amount of energy produced in wind turbine farms should be estimated accurately. Although wind turbine manufacturers estimate energy production depending on wind speed and wind direction, mostly actual...

53. Customer prioritization for marketing actions

Ignasi Puig

15/09/2021, 12:40

Modelling

Selecting customers for marketing actions is an important decision for companies. The profitability of a customer and his inactivity risk are two important aspects of this selection process. These indicators can be obtained using the known Pareto/NBD model. This work proposes clustering customers based on their purchase frequency and purchase value per period before implementing the Pareto/NBD...