It is mandatory to predict the hourly solar radiation received during the average day of each month for different solar energy applications, particularly in design methods, Scientists have developed methods to achieve this using different input parameters. The objective of this study is to compare statistically existing models for estimating the mean hourly global radiation incident on a horizo...

This paper evaluates the impact of intermittent wind generation on hourly equilibrium prices and output, using data on expected wind generation capacity and demand for 2020. Hourly wind data for the period 1993-2005 are used to obtain wind output generation profiles for thirty regions (onshore and offshore) across Great Britain. Matching the wind profiles for each month to the actual hourly dem...

A monotonic transformation is applied to hourly rainfall data to achieve marginal normality. This deenes a latent Gaussian variable, with zero rainfall corresponding to censored values below a threshold. Autocor-relations of the latent v ariable are estimated by maximum likelihood. The goodness of t of the model to Edinburgh rainfall data is comparable with that of existing point process models...

A 20-year old Malay boy presented with abdominal and left lumbar pain together with fever of 5 days duration. Diagnosis of renal colic due to urinary tract infection was made. Antispasmodics together with intravenous ampicillin 500 mgm 6 hourly and intramuscular gentamycin 8 hourly was given. During the course of treatment the patient continued to have fever and left lumbar pain. His temperatur...

We motivate and introduce an extension of the well-known cumulative constraint which deals with time and volume dependent cost of resources. Our research is primarily interested in scheduling problems under time and volume variable electricity costs, but the constraint equally applies to manpower scheduling when hourly rates differ over time and/or extra personnel incur higher hourly rates. We ...

This article presents a set of empirical models capable of extracting metrics quantifying the short-term variability of the solar resource based upon site/time specific satellite-derived hourly irradiance data. The model is derived from over 92,000 experimental hourly data points at twenty-four sites in the United States. The model returns four metrics characterizing intra-hourly variability, i...

This paper presents a comparative study of six soft computing models namely multilayer perceptron networks, Elman recurrent neural network, radial basis function network, Hopfield model, fuzzy inference system and hybrid fuzzy neural network for the hourly electricity demand forecast of Czech Republic. The soft computing models were trained and tested using the actual hourly load data obtained ...

This paper focuses on the forecast of hourly wind speed using an intelligent model. The hourly wind speed of the meteorological stations are forecasted and compared. The selected two sites of Taiwan meteorological stations are Lan-Yu and Tung-Chi-Tao, whose wind speeds are the highest among 25 areas during the period of 1971-2000. An intelligent time series model is developed and used to foreca...

Thermal modelling and optimal design of a solar absorption cooling system are presented, and hourly analysis is performed over the period of a year. Three design parameters are considered, then the Real Parameter Genetic Algorithm (RPGA) is applied to obtain the minimum total annual cost. The optimization results show that the solar cooling optimum configuration needs 1630 square meter collecto...