Decomposition-Ensemble Learning Approach in Solar Radiation Forecasting
نویسندگان
چکیده
منابع مشابه
Probabilistic Forecasting of Solar Power: An Ensemble Learning Approach
Probabilistic forecasts account for the uncertainty in the prediction helping the decision makers take optimal decisions. With the emergence of renewable technologies and the uncertainties involved with the power generated through them, probabilistic forecasts can come to the rescue. Wind power is a mature technology and is in place for decades now, various probabilistic forecasting techniques ...
متن کاملSolar Radiation Forecasting Model
The prediction of hourly solar radiation data has important consequences in many solar applications (Markvart, Fragaki & Ross, 2006). Such data can be regarded as a time series and its prediction depends on accurate modeling of the stochastic process. The computation of the conditional expectation, which is in general non-linear, requires the knowledge of the high order distribution of the samp...
متن کاملForecasting of Solar Radiation
Solar energy is expected to contribute major shares of the future global energy supply. Due to its fluctuating nature an efficient use will require reliable forecast information of its availability in various time and spatial scales depending on the application. The current status of forecasting solar irradiance for energy generation purposes is briefly reviewed with respect to very short-term ...
متن کاملSolar radiation: Cloudiness forecasting using a soft computing approach
Solar energy is one of the most important energy sources with increasing penetration into the power supply systems of many countries, due to the reduced environmental impact of its operation. One of the important factors of the efficiency of photovoltaic systems is the predictability of solar radiation, which depends on the clouds and the meteorological conditions, the occurrence of which is a ...
متن کاملA Bayesian Model Committee Approach to Forecasting Global Solar Radiation
This paper proposes to use a rather new modelling approach in the realm of solar radiation forecasting. In this work, two forecasting models: Autoregressive Moving Average (ARMA) and Neural Network (NN) models are combined to form a model committee. The Bayesian inference is used to affect a probability to each model in the committee. Hence, each model’s predictions are weighted by their respec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Institute of Science and Technology
سال: 2021
ISSN: 2146-0574
DOI: 10.21597/jist.732025