A multi-layer perceptron based deep learning model to quantify the energy potentials of a thin film a-Si PV system

Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study

(2019) Muhammad Aslam et al.   Energies

Three years ahead solar irradiance forecasting to quantify degradation influenced energy potentials from thin film (a-Si) photovoltaic system

(2018) Nallapaneni Manoj Kumar et al.   Results in Physics

Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure

(2016) Sofiane Kichou et al.   ENERGY

Study of degradation and evaluation of model parameters of micromorph silicon photovoltaic modules under outdoor long term exposure in Jaén, Spain

(2016) Sofiane Kichou et al.   ENERGY CONVERSION AND MANAGEMENT

Degradation analysis of a-Si, (HIT) hetro-junction intrinsic thin layer silicon and m-C-Si solar photovoltaic technologies under outdoor conditions

(2014) Vikrant Sharma et al.   ENERGY

Hybrid Predictive Models for Accurate Forecasting in PV Systems

(2013) Emanuele Ogliari et al.   Energies

Short-Term Forecasting Models for Photovoltaic Plants: Analytical versus Soft-Computing Techniques

(2013) Claudio Monteiro et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Photovoltaic Degradation Rates-an Analytical Review

(2011) D. C. Jordan et al.   PROGRESS IN PHOTOVOLTAICS