Showing 1 - 10 of 17
This paper describes an improved approach for (a) the estimation of the mean expected hourly global solar radiation I(h;nj), for any hour h of a day nj of the year, at any site, and (b) the estimation of stochastically fluctuating I(h;nj) values, based on only one morning measurement of a day....
Persistent link: https://www.econbiz.de/10010805575
to apply to design stages of wave energy plants. The aim of this study is to design a simple and precise wave prediction … method for applications to real-time control of wave energy converters (WECs). The proposed prediction method is based on a … for the investigation. A comparison between prediction results of using the suggested grey model, the traditional grey …
Persistent link: https://www.econbiz.de/10010805721
In this work, a novel approach using an artificial neural network was used to develop a model for analyzing the relationship between the Global Radiation (GR) and climatological variables, and to predict GR for locations not covered by the model's training data. The predicted global radiation...
Persistent link: https://www.econbiz.de/10010805752
paper, we take a computer science perspective on energy prediction based on weather data and analyze the important … output. The model obtained for energy prediction gives a very reliable prediction of the energy output for newly supplied …
Persistent link: https://www.econbiz.de/10010805793
In this paper, a genetic approach combing multi-model framework for solar radiation time series prediction is proposed … dynamically, and the subsequences are further grouped into different clusters. For each cluster, a prediction model is trained to … represent that specific pattern. In the prediction phase, identifying the pattern for current period is of great importance …
Persistent link: https://www.econbiz.de/10010806351
and the last year was used to validate and compare the effectiveness of the generated prediction by the techniques … mentioned above. Seasonal ARIMA models present a better sensitivity to the adjustment and prediction of the wind speed for this …
Persistent link: https://www.econbiz.de/10010807229
This paper presents a comparative study between Bayesian Neural Network (BNN), classical Neural Network (NN) and empirical models for estimating the daily global solar irradiation (DGSR). An experimental meteorological database from 1998 to 2002 at Al-Madinah (Saudi Arabia) has been used. Four...
Persistent link: https://www.econbiz.de/10010803640
constraints. A frequency prediction model based on Grey theory is also designed to optimize the performance of the predictive …
Persistent link: https://www.econbiz.de/10010803862
This paper describes two new friendly and reliable approaches to estimate hourly global solar radiation on a horizontal surface even with a pocket calculator.
Persistent link: https://www.econbiz.de/10010804145
This paper presents a novel method to estimate the future biomass energy potential in countries with domestic markets unable to influence international markets. As a study case, the biomass energy potential in Colombia is estimated for the period 2010–2030.
Persistent link: https://www.econbiz.de/10010804344