Results 31 to 40 of about 1,834,325 (334)
Mesoscale Characteristics of Exceptionally Heavy Rainfall during 4–6 May 2023 in Jiangxi, China
Atmosphere, 2023 A long-lasting rainfall event exceeding historical extremes took place in Jiangxi, China, from May 4 to 6, 2023. Because of the concentrated duration of precipitation, it led to significant water accumulation in the northern, central, and southern ...
An Xiao +6 more
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Automatic Time Series Forecasting: The forecast Package for R
, 2008 Automatic forecasts of large numbers of univariate time series are often needed in business and other contexts. We describe two automatic forecasting algorithms that have been implemented in the forecast package for R.
Rob J Hyndman, Yeasmin Khandakar
semanticscholar +1 more source
IEEE Access, 2020 In this paper, a forecasting algorithm is proposed to predict photovoltaic (PV) power generation using a long short term memory (LSTM) neural network (NN).
Mohammad Safayet Hossain, H. Mahmood
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FUTURES & FORESIGHT SCIENCE, 2019 AbstractAccurate forecasting is necessary to remain competitive in today's business environment. Forecast support systems are designed to aid forecasters in achieving high accuracy. However, studies have shown that people are distrustful of automated forecasters.
Dilek Önkal +2 more
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SEAS5: the new ECMWF seasonal forecast system
Geoscientific Model Development, 2018 . In this paper we describe SEAS5, ECMWF's fifth generation seasonal forecast system, which became operational in November 2017. Compared to its predecessor, System 4, SEAS5 is a substantially changed forecast system. It includes upgraded versions of the
S. Johnson +13 more
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INVENTORY AND ASSESSMENT OF CORIANDER CROP IN THE STATE OF RAJASTHAN USING MULTITEMPORAL REMOTE SENSING DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The present study aims to develop the methodology for inventory and assessment of coriander crop in Rajasthan using remote sensing technique. Sentinel-2A optical data having a spatial resolution of 10 m, from January–March, 2017 were ...
S. Roy +4 more
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ASSESSMENT OF RICE BIOMASS PRODUCTION AND YIELD USING SEMI-PHYSICAL APPROACH AND REMOTELY SENSED DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 India is one of the world’s largest producers of rice, accounting for 20% of all world rice production. Rice crop occupies nearly 27.6% of the India’s arable land with average consumption per capita/year was ~68.2 kg milled rice.
M. Dwivedi, S. Saxena, Neetu, S. S. Ray
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Why do some probabilistic forecasts lack reliability? [PDF]
, 2019 In this work, we investigate the reliability of the probabilistic binary forecast. We mathematically prove that a necessary, but not sufficient, condition for achieving a reliable probabilistic forecast is maximizing the Peirce skill score (PSS) at the ...
Kubo, Yûki
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Forecasting Breaks and Forecasting During Breaks [PDF]
, 2012 AbstractThis article, which proposes a new approach to forecasting breaks by focusing on the role of information, begins by outlining the eight conditions that are necessary to successfully forecast a break. Section 2 then considers the concepts of unpredictability and information to address the first necessary condition.
Jennifer Castle +2 more
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Journal of Forecasting, 2011 ABSTRACTP. C. B. Phillips (1998) demonstrated that deterministic trends are a valid representation of an otherwise stochastic trending mechanism; he remained skeptic, however, about the predictive power of such representations. In this paper we prove that forecasts built upon spurious regression may perform (asymptotically) as well as those issued from
Martínez-Rivera, B. +2 more
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