A Review of Solar Power Scenario Generation Methods with Focus on Weather Classifications, Temporal Horizons, and Deep Generative Models
MA Kousounadis-Knousen, IK Bazionis, AP Georgilaki… - Energies, 2023 - mdpi.com
Scenario generation has attracted wide attention in recent years owing to the high
penetration of uncertainty sources in modern power systems and the introduction of …
penetration of uncertainty sources in modern power systems and the introduction of …
Economic Analysis of Rooftop Based On-Grid and Off-Grid Photovoltaic Systems in Equatorial Area
Through a thorough analysis using Net Present Cost (NPC) over a 20-year period, this
research presents a comprehensive and economically optimized solar panel design …
research presents a comprehensive and economically optimized solar panel design …
An Advanced Hybrid Boot-LSTM-ICSO-PP Approach for Day-Ahead Probabilistic PV Power Yield Forecasting and Intra-Hour Power Fluctuation Estimation
IK Bazionis, MA Kousounadis-Knousen… - IEEE …, 2024 - ieeexplore.ieee.org
Probabilistic forecasting models have been developed over the past years in order to aid in
the estimation of the uncertainty of the predictive results. A hybrid, bootstrapping long-short …
the estimation of the uncertainty of the predictive results. A hybrid, bootstrapping long-short …
Sky Images for Short-Term Solar Irradiance Forecast: A Comparative Study of Linear Machine Learning Models
An accurate solar irradiance forecast is critical to the reliable operation of electrical grids
with increasing integration of photovoltaic systems. This study compares short-term solar …
with increasing integration of photovoltaic systems. This study compares short-term solar …