Conveners
PV energy application: PV energy application
- Lesley De Cruz (RMI - VUB)
Solar energy forms an important pillar of climate change mitigation. Short-term forecasts of surface solar irradiance (SSI) are gaining more importance for power grid operators seeking to balance supply and demand in a secure and economical way. Regional-scale SSI forecasts are essential since most solar power is provided by decentralized PV plants. Solar nowcast models offer SSI predictions...
Post-processing methods are implemented at wind/solar farm for the power forecast. We propose two forecasting frameworks based on EMOS and neural network (NN). Boosting technique is applied for selection of the variables in the EMOS approach. The NN approach uses a multilayer perceptron model, where the training process is specifically tailored to the limited dataset size of one year by...
Increasing shares of distributed PV generation plus increased wind energy being fed into the grid challenge local grids through rising variability and peak loads, requiring accurate, high-resolution forecasts for grid flexibility. EngagePrivFlex addresses this by exploring how private households can provide flexible generation & consumption to support grid stability. The meteorological...
