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Yalcinoz, T. and Eminoglu, U. (2005) Short Term and Medium Term Power Distribution Load Forecasting by Neural Networks. Energy Conversion and Management, 46, 1393-1405.
https://doi.org/10.1016/j.enconman.2004.07.005

has been cited by the following article:

  • TITLE: The Mid-Term Model Forecast Test of North China Rainstorm from July 19th to 20th, 2016

    AUTHORS: Xiakun Zhang, Qiqi Liu, Manyu Zhang

    KEYWORDS: Heavy Rain, North China, Medium-Term Model, Forecast Test

    JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.5 No.8, August 4, 2017

    ABSTRACT: Heavy rain is a kind of severe weather, often causing floods and serious soil erosion, leading to engineering losses, embankment rupture and crop flooding and other significant economic losses. Especially for some low-lying terrain areas, rainwater cannot quickly vent caused by farm water and soil moisture being too saturated, so it will cause more geological disasters. This article combines live and forecast data, aiming at the results of the mid-rainstorm forecast in North China during the period of 7.19-2016, and compares with the actual situation of rainstorm. We carry out the mid-term forecast of the rainstorm. The atmosphere is a kind of medium with various fluctuation phenomena, and its physical properties and changes are studied by the analysis of volatility which is an important research method. It is important to improve the accuracy of such severe weather forecasting rainstorms and to take precautionary measures in a timely manner to minimize the losses caused by rainstorms.