Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …

Solar radiation data plays an important role in solar energy research. These data are not
available for location of interest due to absence of a meteorological station. Therefore, the …

As a kind of clean energy, solar energy occupies a pivotal position in energy applications.
Accurate and reliable solar radiation prediction is critical to the application of solar energy. In …

After decades of evolution and improvements, Artificial Intelligence (AI) is now taking root in
our daily lives, and is starting to profoundly influence the fields of architecture and …

We evaluate and compare several forecasting techniques using no exogenous inputs for
predicting the solar power output of a 1MWp, single-axis tracking, photovoltaic power plant …

Forecasting of solar irradiance is in general significant for planning the operations of power
plants which convert renewable energies into electricity. In particular, the possibility to …

Artificial neural networks are widely accepted as a technology offering an alternative way to
tackle complex and ill-defined problems. They can learn from examples, are fault tolerant in …

Power forecasting has received a great deal of attention due to its importance for planning
the operations of photovoltaic (PV) system. Compared to other forecasting techniques, the …

Artificial intelligence (AI) techniques are becoming useful as alternate approaches to
conventional techniques or as components of integrated systems. They have been used to …

Artificial neural networks offer an alternative way to tackle complex and ill-defined problems.
They can learn from examples, are fault tolerant in the sense that they are able to handle …