Probabilistic forecasting summarizes what is known about, or opinions about, future events. In contrast to single-valued forecasts (such as forecasting...

functions are often used as "cost functions" or "loss functions" of probabilistic forecasting models. They are evaluated as the empirical mean of a given sample...

Energy forecasting includes forecasting demand (load) and price of electricity, fossil fuels (natural gas, oil, coal) and renewable energy sources (RES;...

Ensemble forecasting is a method used in or within numerical weather prediction. Instead of making a single forecast of the most likely weather, a set...

forecasting Energy forecasting Forecasting Global Energy Forecasting Competitions Economic forecasting Prediction interval Probabilistic forecasting Quantile...

earthquakes, forest fires, price fluctuations in stock markets, etc., probabilistic forecasting, based on the distribution knowledge, can be successful even if...

intractable. For this reason, in the fields of predictive modelling and probabilistic forecasting, it is desirable for a given model to exhibit the Markov property...

Granger causality Simulation Demand forecasting Probabilistic forecasting and Ensemble forecasting The forecast error (also known as a residual) is the...

Electricity price forecasting (EPF) is a branch of energy forecasting which focuses on using mathematical, statistical and machine learning models to...

information to the forecast. While increasing accuracy of forecasting models implies that humans may no longer be needed in the forecasting process at some...

2024. Munkhammar, J.; van der Meer, D.W.; Widén, J. (2019). "Probabilistic forecasting of high-resolution clear-sky index time-series using a Markov-chain...

property can be deduced. In the fields of predictive modelling and probabilistic forecasting, the Markov property is considered desirable since it may enable...

Rupnow RA, Romond K, Millet D, Holz FG, et al. (June 2021). "Probabilistic Forecasting of Anti-VEGF Treatment Frequency in Neovascular Age-Related Macular...

in the atmospheric sciences as a way to convert ensemble forecasts into probabilistic forecasts. Relative to simple linear regression, NGR uses the ensemble...

Weather Logistics UK produces regional-seasonal predictions that are probabilistic in nature. Two different blocking sizes are used for the modelling,...

Generally, the solar forecasting techniques depend on the forecasting horizon Nowcasting (forecasting 3–4 hours ahead), Short-term forecasting (up to seven days...

conference. 23 July 2015. Chen, Jingjing; Kipping, David (2016). "Probabilistic Forecasting of the Masses and Radii of Other Worlds". The Astrophysical Journal...

systematic, interactive forecasting method that relies on a panel of experts. Delphi has been widely used for business forecasting and has certain advantages...

Retrieved September 25, 2015. Chen, Jingjing; Kipping, David (2016). "Probabilistic Forecasting of the Masses and Radii of Other Worlds". The Astrophysical Journal...

Probabilistic risk assessment (PRA) is a systematic and comprehensive methodology to evaluate risks associated with a complex engineered technological...

In the fields of forecasting and prediction, forecasting skill or prediction skill is any measure of the accuracy and/or degree of association of prediction...

In machine learning, a probabilistic classifier is a classifier that is able to predict, given an observation of an input, a probability distribution...

Forecasting of the wind power generation may be considered at different time scales, depending on the intended application: very short-term forecasts...

(2 ed.). Elsevier. p. 64. Jingjing Chen; David Kipping (2017). "Probabilistic Forecasting of the Masses and Radii of Other Worlds". The Astrophysical Journal...

Yitian; Kang, Yanfei; Chen, Yixiong; Wang, Zizhuo (2019-06-11). "Probabilistic Forecasting with Temporal Convolutional Neural Network". arXiv:1906.04397...

Energy Forecasting Competition (GEFCom2014) used variants of QRA. Consensus-based assessment Consensus decision-making Delphi method Economic forecasting Ensemble...

leader on physics Inger-lise Frogner, met.no, Project leader on probabilistic forecasting Xiaohua Yang, DMI, Project leader on quality assurance and operational...

a scientific basis for forecasting. While a debate went on between the Signal Service and Congress over whether the forecasting of weather conditions should...

Retrieved 28 November 2019. Chen, Jingjing; Kipping, David (2017). "Probabilistic Forecasting of the Masses and Radii of Other Worlds". The Astrophysical Journal...

Decker, Berlin, p. 191. Chen, Jingjing; Kipping, David (2017). "Probabilistic Forecasting of the Masses and Radii of Other Worlds". The Astrophysical Journal...