Results 41 to 50 of about 876,273 (176)
A novel bidirectional LSTM deep learning approach for COVID-19 forecasting
Scientific Reports, 2023 COVID-19 has resulted in significant morbidity and mortality globally. We develop a model that uses data from thirty days before a fixed time point to forecast the daily number of new COVID-19 cases fourteen days later in the early stages of the pandemic.
Nway Nway Aung +3 more
doaj +1 more source
A new accuracy measure based on bounded relative error for time series forecasting [PDF]
, 2017 Many accuracy measures have been proposed in the past for time series forecasting comparisons. However, many of these measures suffer from one or more issues such as poor resistance to outliers and scale dependence.
A Davydenko +30 more
core +2 more sources
中国寧夏地域における日照時間から日積算日射量の推定 [PDF]
, 2009 For the estimation of daily solar radiation from sunshine duration, observation data of Yinchuan station in Ningxia, China was used. Using a linear relationship between solar radiation and extraterrestrial radiation including relative sunshine duration ...
Tsukamoto, Osamu, Yang, Qin
core +1 more source
AviationLots of researchers worldwide use a big variety of forecast models to predict demand. After running the forecast model, researcher always has a question if received prediction was accurate or not.
Danila Larin
doaj +1 more source
A Hybrid Neural Network Model for Short-Term Wind Speed Forecasting
Energies, 2023 This study proposes an effective wind speed forecasting model combining a data processing strategy, neural network predictor, and parameter optimization method.
Shengxiang Lv, Lin Wang, Sirui Wang
doaj +1 more source
Fuzzy Inference System Mamdani dan the Mean Absolute Percentage Error (MAPE) untuk Prediksi Permintaan Dompet Pulsa pada XL Axiata Depok [PDF]
Jurnal Informatika Universitas Pamulang, 2017 Kemajuan perkembangan teknologi informasi pada era globalisasi sekarang ini sangat pesat; hal ini menuntut setiap perusahaan untuk dapat saling bersaing dalam dunia bisnis yang dinamis dan penuh persaingan. Pada proses manjaemen permintaan dompet pulsa di XL Axiata cabang Depok memerlukan peramalan yang cukup matang agar dompet pulsa yang diminta ...
openaire +2 more sources
A Comparison of Models for Estimating Solar Radiation from Sunshine Duration in Croatia
International Journal of Photoenergy, 2020 The performance of seventeen sunshine-duration-based models has been assessed using data from seven meteorological stations in Croatia. Conventional statistical indicators are used as numerical indicators of the model performance: mean absolute ...
Tihomir Betti +3 more
doaj +1 more source
Modeling the compressive strength of geopolymeric binders by gene expression programming-GEP [PDF]
, 2013 GEP has been employed in this work to model the compressive strength of different types of geopolymers through six different schemes. The differences between the models were in their linking functions, number of genes, chromosomes and head sizes.
Ali Nazari +25 more
core +1 more source
Wind Speed Prediction Based on Statistical and Deep Learning Models
International Journal of Renewable Energy Development, 2023 Wind is a dominant source of renewable energy with a high sustainability potential. However, the intermittence and unstable nature of wind source affect the efficiency and reliability of wind energy conversion systems.
Ilham Tyass +5 more
doaj +1 more source
Hits-and-misses for the evaluation and combination of forecasts [PDF]
, 2000 Error measures for the evaluation of forecasts are usually based on the size of the forecast errors. Common measures are e.g. the Mean Squared Error (MSE), the Mean Absolute Deviation (MAD) or the Mean Absolute Percentage Error (MAPE).
Wenzel, Thomas
core +1 more source