Search Results - "Trull, Oscar"
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Initialization Methods for Multiple Seasonal Holt–Winters Forecasting Models
Published in Mathematics (Basel) (01-02-2020)“…The Holt–Winters models are one of the most popular forecasting algorithms. As well-known, these models are recursive and thus, an initialization value is…”
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Attitudes Towards Statistics in Secondary Education: Findings from fsQCA
Published in Mathematics (Basel) (01-05-2020)“…Students report a high degree of anxiety and reduced self-confidence when facing statistical subjects, especially in secondary education. This anxiety turns…”
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Forecasting Irregular Seasonal Power Consumption. An Application to a Hot-Dip Galvanizing Process
Published in Applied sciences (01-01-2021)“…Distribution companies use time series to predict electricity consumption. Forecasting techniques based on statistical models or artificial intelligence are…”
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Anxiety towards Statistics and Its Relationship with Students' Attitudes and Learning Approach
Published in Behavioral sciences (10-03-2021)“…Many university students have difficulties when facing statistics related tasks, leading to an increase in their levels of anxiety and poor performance…”
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Application of Discrete-Interval Moving Seasonalities to Spanish Electricity Demand Forecasting during Easter
Published in Energies (Basel) (21-03-2019)“…Forecasting electricity demand through time series is a tool used by transmission system operators to establish future operating conditions. The accuracy of…”
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Stability of Multiple Seasonal Holt-Winters Models Applied to Hourly Electricity Demand in Spain
Published in Applied sciences (01-04-2020)“…Electricity management and production depend heavily on demand forecasts made. Any mismatch between the energy demanded with respect to that produced supposes…”
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7
Multiple seasonal STL decomposition with discrete-interval moving seasonalities
Published in Applied mathematics and computation (15-11-2022)“…•A novel time series decomposition method based on STL with multiple seasonalities.•A novel STL decomposition that deals with special events through DIMS and…”
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One-day-ahead electricity demand forecasting in holidays using discrete-interval moving seasonalities
Published in Energy (Oxford) (15-09-2021)“…Transmission System Operators provide forecasts of electricity demand to the electricity system. The producers and sellers use this information to establish…”
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msf, a forecasting library to predict short-term electricity demand based on multiple seasonal time series
Published in Journal of computational science (01-06-2024)“…Transmission system operators have a growing need for more accurate forecasting of electricity demand. Current electricity systems largely require demand…”
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10
Ultrastructural Morphometry of Nucleoli: Potential Usefulness for Objective Grading of Clear Cell Renal Cell Carcinoma
Published in Ultrastructural pathology (2001)“…The authors attempted to determine the potential prognostic value of several ultrastructural morphometric parameters, including nuclear, nucleolar, and…”
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Exposing the ideal combination of endogenous–exogenous drivers for companies’ ecoinnovative orientation: Results from machine-learning methods
Published in Socio-economic planning sciences (01-02-2022)“…This study provides an XGBoost model to characterize the environmental orientation of innovative firms. This novel approach, using state-of-the-art machine…”
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Prediction of energy consumption in hotels using ANN
Published 28-05-2024“…The increase in travelers and stays in tourist destinations is leading hotels to be aware of their ecological management and the need for efficient energy…”
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mshw, a forecasting library to predict short-term electricity demand based on multiple seasonal Holt-Winters
Published 15-02-2024“…Journal of Computational Science Volume 78, June 2024, 102280 Transmission system operators have a growing need for more accurate forecasting of electricity…”
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