نتایج جستجو برای: hourly analysis
تعداد نتایج: 2830884 فیلتر نتایج به سال:
Pollen grains are one of the most important groups of atmospheric biological particles that originate allergic processes. Knowledge of intradiurnal variation of the atmospheric pollen may be useful for the treatment and prevention of pollen allergies. Intradiurnal fluctuation of hourly pollen counts in 24 h are related to the daily rhythm of anther opening, and modified by various interacting f...
This paper presents the development of two empirical ozone-forecasting models for predicting hourly ozone concentrations near Cincinnati, Ohio. This study examined the hourly ozone data collected between 1995 and 1999 at an ozone monitoring station in the Cincinnati area. Two different models, the KZ model and the NN model, were developed using data from 1995 to 1998. The KZ model was developed...
Wind energy is increasing its participation as a main source of energy in power grids and electric utility systems around the world. One of the main difficulties of integrating large amounts of wind energy in power grids is the natural intermittency of its generated power [1, 2] due to the energy produced from the wind turbine being dependent on the availability of the wind, which is highly sto...
The process of predicting news stories popularity from several news sources has become a challenge of great importance for both news producers and readers. In this paper, we investigate methods for automatically predicting the number of clicks on a news story during one hour. Our approach is a combination of additive regression and bagging applied over a M5P regression tree using a logarithmic ...
Atmospheric Chemistry and Physics Discussions This discussion paper is/has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP if available. Abstract Secondary inorganic aerosol, most notably ammonium nitrate and ammonium sul-phate, is an important contributor to ambient particulate mass and provides a means for long ra...
In the present study, due to the high cost of smart metering, the electricity load data of Tehran is decomposed to identify the energy consumption pattern and the energy-saving potentials of households. The present study identifies household consumption in times of low, medium and peak load. To identify the household load curve, the aggregated hourly load data is decomposed and its components a...
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