Probabilistic, Multi‐Sensor Eruption Forecasting by Y. Behr, A. Christophersen, C. Miller

“…The model generates probabilistic forecasts that are interpretable and resilient against sensor outage. …”
Get full text

Applications of Probabilistic Forecasting in Demand Response by María Carmen Ruiz-Abellón, Luis Alfredo Fernández-Jiménez, Antonio Guillamón, Antonio Gabaldón

Subjects: Get full text

Probabilistic Interval Forecasts: An Individual Differences Approach to Understanding Forecast Communication by Margaret A. Grounds, Susan Joslyn, Kyoko Otsuka

Get full text

Probabilistic Ensemble Forecast of Summertime Temperatures in Pakistan by Muhammad Hanif

“…Skilful probabilistic ensemble forecasts of summertime temperatures may be valuable in providing the foreknowledge of snowmelt flooding and water management in Pakistan.…”
Get full text

nabqr: Python package for correcting probabilistic forecasts by Bastian Schmidt Jørgensen, Jan Kloppenborg Møller, Peter Nystrup, Henrik Madsen

Subjects: “…Probabilistic forecasting…”
Get full text

Probabilistic-Based Forecasting Method For Time Series Datasets by Abdullatif Baba

Get full text

Improving probabilistic infectious disease forecasting through coherence. by Graham Casey Gibson, Kelly R Moran, Nicholas G Reich, Dave Osthus

“…Enforcing probabilistic coherence led to an increase in forecast skill for 79% of the models we tested over multiple flu seasons, highlighting the importance of respecting the forecasting system's geographical hierarchy.…”
Get full text

Probabilistic Solar Proxy Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

Get full text

Probabilistic Diffusion Models Advance Extreme Flood Forecasting by Zhigang Ou, Congyi Nai, Baoxiang Pan, Yi Zheng, Chaopeng Shen, Peishi Jiang, Xingcai Liu, Qiuhong Tang, Wenqing Li, Ming Pan

“…We introduce diffusion‐based runoff model (DRUM), a probabilistic deep learning (DL) approach that advances extreme flood forecasting across representative basins in the contiguous United States. …”
Get full text

Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model by Amir Miraki, Pekka Parviainen, Reza Arghandeh

Subjects: Get full text

Machine-learning-based probabilistic forecasting of solar irradiance in Chile by S. Baran, J. C. Marín, J. C. Marín, O. Cuevas, O. Cuevas, M. Díaz, M. Szabó, O. Nicolis, M. Lakatos

“…The present work investigates probabilistic forecasts of solar irradiance for regions III and IV in Chile. …”
Get full text

Disentangled diffusion dodels for probabilistic spatio-temporal traffic forecasting by Wenyu Zhang, Kaidong Zheng

Get full text

The demise of the world's largest piedmont glacier: a probabilistic forecast by D. J. Brinkerhoff, B. S. Tober, B. S. Tober, M. Daniel, V. Devaux-Chupin, M. S. Christoffersen, M. S. Christoffersen, J. W. Holt, C. F. Larsen, M. Fahnestock, M. G. Loso, K. M. F. Timm, R. C. Mitchell, M. Truffer

Get full text

Adapting Ensemble‐Calibration Techniques to Probabilistic Solar‐Wind Forecasting by N. O. Edward‐Inatimi, M. J. Owens, L. Barnard, H. Turner, M. Marsh, S. Gonzi, M. Lang, P. Riley

“…Ensemble forecasting generates sets of outputs to create probabilistic forecasts which quantify forecast uncertainty, vital for reliable/actionable forecasts. …”
Get full text

The probabilistic skill of extended-range heat wave forecasts over Europe by N. Korhonen, O. Hyvärinen, V. Kollanus, T. Lanki, T. Lanki, T. Lanki, J. Jokisalo, R. Kosonen, R. Kosonen, D. S. Richardson, K. Jylhä

Get full text

Probabilistic Forecasting of Energy Consumption using Bayesian Dynamic Linear Models by Hartika Aulia, Syaharuddin Syaharuddin, Vera Mandailina, Hamenyimana Emanuel Gervas, Hameed Ashraf

Subjects: “…probabilistic forecasting, energy consumption, bayesian dynamic linear…”
Get full text

A Bayesian Network-Based Probabilistic Framework for Drought Forecasting and Outlook by Ji Yae Shin, Muhammad Ajmal, Jiyoung Yoo, Tae-Woong Kim

“…This study developed a probabilistic scheme for drought forecasting and outlook combined with quantification of the prediction uncertainties. …”
Get full text

Proper scoring rules for multivariate probabilistic forecasts based on aggregation and transformation by R. Pic, C. Dombry, P. Naveau, M. Taillardat

“…<p>Proper scoring rules are an essential tool to assess the predictive performance of probabilistic forecasts. However, propriety alone does not ensure an informative characterization of predictive performance, and it is recommended to compare forecasts using multiple scoring rules. …”
Get full text

Probabilistic Forecasting of Ground Magnetic Perturbation Spikes at Mid‐Latitude Stations by Michael Coughlan, Amy Keesee, Victor Pinto, Raman Mukundan, José Paulo Marchezi, Jeremiah Johnson, Hyunju Connor, Don Hampton

Get full text

Transformer-Based Models for Probabilistic Time Series Forecasting with Explanatory Variables by Ricardo Caetano, José Manuel Oliveira, Patrícia Ramos

Subjects: Get full text