Solar energy is one of the main renewable energy sources capable of contributing to global
energy demand. However, the solar resource is intermittent, making its integration into the …

As solar photovoltaic (PV) power generation is very sensitive to environmental changes, with
the characteristics of randomness and intermittent, a new PV power prediction model based …

This review reports a quantitative analysis across the deterministic photovoltaic (PV) power
forecasting approaches. Model accuracy tests from papers passing a set of selection criteria …

Day-ahead power forecasting is an effective way to deal with the challenges of increased
penetration of photovoltaic power into the electric grid, due to its non-programmable nature …

The penetration of nonprogrammable renewable energy sources, namely wind and solar
technology, has greatly increased in the last decades and nowadays the shift toward green …

Off-grid microgrids are receiving a growing interest for rural electrification purposes in
develo** countries due to their ability to ensure affordable, sustainable and reliable …

Some balancing authorities give owners of medium to large photovoltaic (PV) generation
plants a choice between firming the production of their plants using battery energy storage …

With the increasing penetration of renewable power sources such as wind and solar,
accurate short-term, nowcasting renewable power prediction is becoming increasingly …

The main goal of this chapter is to show the set up a well-defined method to identify and
properly train the hybrid artificial neural network both in terms of number of neurons, hidden …

Load forecasts have become an integral part of energy security. Due to the various
influencing factors that can be considered in such a forecast, there is also a wide range of …