Results 271 to 280 of about 95,141 (307)

Short-term forecasting in electronics

International Journal of Electronics, 2011
Short time series are characterised by a lack of the following: trend information, randomness and periodicity. This makes prediction based on them very difficult or even impossible. This unfortunately is frequently the case in modern electronic developments.
Jelena Milojković, Vančo Litovski
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Short-term forecasting of crime

International Journal of Forecasting, 2003
Abstract The major question investigated is whether it is possible to accurately forecast selected crimes 1 month ahead in small areas, such as police precincts. In a case study of Pittsburgh, PA, we contrast the forecast accuracy of univariate time series models with naive methods commonly used by police. A major result, expected for the small-scale
Wilpen Gorr, Andreas Olligschlaeger, Yvonne Thompson   +2 more
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Short-term load forecasting using a long short-term memory network

2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2017
Load forecasting is an essential part of a power system. It enhances the energy-efficiency and reliable operation of the power system. As depicted in the proposal of the smart grid, an increasing number of smart meters have been being installed in many utilities on a global scale.
Chang Liu, Zhijian Jin, Jie Gu 0005, Robert Caiming Qiu   +3 more
openaire   +1 more source

The Institute's Short‐term Forecasts

Australian Economic Review, 1969
It is based on a paper presented to the 41st Congress of the Australian and New Zealand Association for the Advancement of Science, Adelaide, in August 1969. It has been revised to include references to forecasts made in the October 1969 issue of the Review.
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Short-Term Forecasting Methods

1976
Forecasting is a vital ingredient in the making of both long-term and short-term plans. For example, in the control and management of working capital we are attempting to optimise the future profitability-risk profile of the firm and this will require, amongst other things, forecasts of the future demand for inventory, the level of future interest ...
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Short-Term Forecasting.

The Statistician, 1965
R. Rimmer, G. A. Coutie, O. L. Davies, C. H. Hossell, D. W. G. P. Millar, A. J. H. Morrell   +5 more
openaire   +2 more sources

Short Term Load Forecasting Using XGBoost

2019
For efficient use of smart grid, exact prediction about the in-future coming load is of great importance to the utility. In this proposed scheme initially we converted daily Australian energy market operator load data to weekly data time series. Furthermore, we used eXtreme Gradient Boosting (XGBoost) for extracting features from the data.
Raza Abid Abbasi, Nadeem Javaid, Muhammad Nauman Javid Ghuman, Zahoor Ali Khan, Shujat ur Rehman, Amanullah   +5 more
openaire   +1 more source

Short-Term Forecasting

Journal of Marketing Research, 1969
John U. Farley, Robert L. Laughlin, James J. Boyle, Victor Zarnowitz   +3 more
openaire   +1 more source

Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation

Renewable Energy, 2021
Bo Gu, Tianren Zhang
exaly  

A novel non-iterative correction method for short-term photovoltaic power forecasting

Renewable Energy, 2020
Honglu Zhu
exaly