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The Makridakis Competitions (also known as the M Competitions or M-Competitions) are a series of open competitions to evaluate and compare the accuracy of different time series forecasting methods. They are organized by teams led by forecasting researcher Spyros Makridakis and were first held in 1982. [1] [2] [3] [4]
Two models were built initially, the M5 running on US-standard 115 V 60 Hz power, [7] and the M6 for British use, running on 50 V 50 Hz power. [7] The original M5 was designed to use an external torque amplifier, which added to the complexity. This was addressed in the M5A1, which used a more powerful ball-and-disk system that eliminated the ...
In weather forecasting, model output statistics (MOS) is a multiple linear regression technique in which predictands, often near-surface quantities (such as two-meter-above-ground-level air temperature, horizontal visibility, and wind direction, speed and gusts), are related statistically to one or more predictors.
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
It included two tracks: a hierarchical load forecasting track and a wind power forecasting track; both opened to contestants in September 2012. [9] [10] More than 200 teams submitted more than 2,000 entries focusing on hierarchical load forecasting and wind power forecasting. The winners were announced by the IEEE Power & Energy Society (one of ...
The most commonly used test set for this dataset is called "Hub5'00". 1992 (2000) [118] [119] NIST Zero Resource Speech Challenge 2015 Spontaneous speech (English), Read speech (Xitsonga). None, raw WAV files. English: 5h, 12 speakers; Xitsonga: 2h30, 24 speakers WAV (audio only) Unsupervised discovery of speech features/subword units/word ...
The Weather Research and Forecasting (WRF) Model [1] (/ ˈ w ɔːr f /) is a numerical weather prediction (NWP) system designed to serve both atmospheric research and operational forecasting needs, developed in the United States. NWP refers to the simulation and prediction of the atmosphere with a computer model, and WRF is a set of software ...
Significant track errors still occur on occasion, as seen in this Ernesto (2006) early forecast. The NHC official forecast is light blue, while the storm's actual track is the white line over Florida. A tropical cyclone forecast model is a computer program that uses meteorological data to forecast aspects of the future state of tropical cyclones.