Data Mining Models for Short Term Solar Radiation Prediction and Forecast-Based Assessment of Photovoltaic Facilities

Finally we observe that several types of analysis can be con- ducted on the models built with this approach: (i) a performance model with a set of security requirements can be

In their model, consisting of a p-persistent CSMA-based WLAN where interfaces only consumed energy in two states (transmission and reception), it was shown that energy efficiency

Presently, all the results obtained using a one-hour-ahead prediction are presented, i.e., the prediction of the total amount of photovoltaic energy generated for the next hour by

The hybrid use of several renewable energy sources (wind/solar) have also been developed to meet irrigation energy needs and to increase the crop profitability (Vick and Almas,

All spectral states consistent with pure non-thermal acceleration models, Hard state compatible with pure synchrotron Comptonization. Spectral transitions: thermal disc photons

show that the proposed models can outperform classical - SVR models over two real-world regression tasks, and also that problem-independent techniques applied to tackle the problem

Thus, the simplest approach to build specific predictors is to define a wind speed threshold value and to construct different energy prediction models for NWP forecasts whose

For the case of the stub-shortened NRD leaky-wave antenna, a novel equivalent radiation impedance was developed by Sanchez and Oliner to model the radiation of the evanescent