Results 11 to 20 of about 10,696 (267)
Probabilistic recalibration of forecasts
International Journal of Forecasting, 2021 Accepted for publication in International Journal of ...
Graziani, Carlo +3 more
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Probabilistic reference model for hourly PV power generation forecasting [PDF]
E3S Web of Conferences, 2020 This paper presents a new probabilistic forecasting model of the hourly mean power production in a Photovoltaic (PV) plant. It uses the minimal information and it can provide probabilistic forecasts in the form of quantiles for the desired horizon, which
Fernandez-Jimenez L. Alfredo +5 more
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A review of short‐term wind power probabilistic forecasting and a taxonomy focused on input data
IET Renewable Power Generation, 2022 A review of state‐of‐the‐art short‐term wind power probabilistic forecasting models is the focus here. The improvement of the accuracy and efficiency of probabilistic forecasting models has been in the centre of attention of researchers in recent years ...
Ioannis K. Bazionis +2 more
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Evaluating probabilistic ecological forecasts
Ecology, 2021 AbstractProbabilistic near‐term forecasting facilitates evaluation of model predictions against observations and is of pressing need in ecology to inform environmental decision‐making and effect societal change. Despite this imperative, many ecologists are unfamiliar with the widely used tools for evaluating probabilistic forecasts developed in other ...
Simonis, Juniper L. +2 more
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Operational Probabilistic Forecasting of Coastal Freak Waves by Using an Artificial Neural Network
Journal of Marine Science and Engineering, 2020 Coastal freak waves (CFWs) are unpredictable large waves that occur suddenly in coastal areas and have been reported to cause casualties worldwide. CFW forecasting is difficult because the complex mechanisms that cause CFWs are not well understood.
Dong-Jiing Doong +3 more
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Evaluation of Probabilistic Disease Forecasts [PDF]
Phytopathology®, 2017 The statistical evaluation of probabilistic disease forecasts often involves calculation of metrics defined conditionally on disease status, such as sensitivity and specificity. However, for the purpose of disease management decision making, metrics defined conditionally on the result of the forecast—predictive values—are also important, although less
Hughes, G, Burnett, FJ
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IEEE Access, 2020 With the rapid growth of photovoltaic (PV) power in recent years, the stability of system operation, the performance of system contingency analysis as well as the power quality of the power grid are threatened by the inherent uncertainty and fluctuation ...
Fei Mei +7 more
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Probabilistic typhoon rainfall forecasting using a modified fuzzy inference model
Terrestrial, Atmospheric and Oceanic Sciences, 2021 Machine learning can yield timely forecasts of rainfall and flood hazard variables. Such an application of machine learning in disaster mitigation is a key topic in hydroinformatics.
Shien-Tsung Chen
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Frontiers in Water, 2022 Probabilistic forecasting is receiving growing attention nowadays in a variety of applied fields, including hydrology. Several machine learning concepts and methods are notably relevant toward addressing the major challenges of formalizing and optimizing
Georgia Papacharalampous +1 more
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Combining Probabilistic Load Forecasts [PDF]
IEEE Transactions on Smart Grid, 2019 Submitted to IEEE Transactions on Smart ...
Yi Wang 0022 +5 more
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