Biomass price prediction based on the example of Poland
A Górna, M Wieruszewski, A Szabelska-Beręsewicz… - Forests, 2022 - mdpi.com
The aim of the study was to test the applicability of forecasting in the analysis of the
variability of prices and supply of wood in Poland. It relies on the autoregressive integrated
model (ARIMA) that takes into account the level of cyclic, seasonal, and irregular fluctuations
and the long-term trend as tools for the assessment of the predictions of the prices of
selected medium-sized wood assortments. Elements of the time series were determined
taking into account the cyclical character of the quarterly distribution. The data included …
variability of prices and supply of wood in Poland. It relies on the autoregressive integrated
model (ARIMA) that takes into account the level of cyclic, seasonal, and irregular fluctuations
and the long-term trend as tools for the assessment of the predictions of the prices of
selected medium-sized wood assortments. Elements of the time series were determined
taking into account the cyclical character of the quarterly distribution. The data included …
[PDF][PDF] Biomass Price Prediction Based on the Example of Poland. Forests 2022, 13, 2179
A Górna, M Wieruszewski, A Szabelska-Beresewicz… - 2022 - academia.edu
The aim of the study was to test the applicability of forecasting in the analysis of the
variability of prices and supply of wood in Poland. It relies on the autoregressive integrated
model (ARIMA) that takes into account the level of cyclic, seasonal, and irregular fluctuations
and the longterm trend as tools for the assessment of the predictions of the prices of selected
medium-sized wood assortments. Elements of the time series were determined taking into
account the cyclical character of the quarterly distribution. The data included quarterly …
variability of prices and supply of wood in Poland. It relies on the autoregressive integrated
model (ARIMA) that takes into account the level of cyclic, seasonal, and irregular fluctuations
and the longterm trend as tools for the assessment of the predictions of the prices of selected
medium-sized wood assortments. Elements of the time series were determined taking into
account the cyclical character of the quarterly distribution. The data included quarterly …
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