Remote sensing of earth's energy budget: Synthesis and review
The Earth's climate is largely determined by its energy budget. Since the 1960s, satellite
remote sensing has been used in estimating these energy budget components at both the …
remote sensing has been used in estimating these energy budget components at both the …
Verification of deterministic solar forecasts
The field of energy forecasting has attracted many researchers from different fields (eg,
meteorology, data sciences, mechanical or electrical engineering) over the last decade …
meteorology, data sciences, mechanical or electrical engineering) over the last decade …
Review on power-production modeling of hybrid wind and PV power parks
The interest for co-located wind and solar photovoltaic (PV) parks, also known as hybrid
power parks (HPPs), is increasing both in industry and in the scientific community. Co …
power parks (HPPs), is increasing both in industry and in the scientific community. Co …
PV power prediction based on LSTM with adaptive hyperparameter adjustment
M Chai, F **a, S Hao, D Peng, C Cui, W Liu - Ieee Access, 2019 - ieeexplore.ieee.org
The randomness, volatility, and intermittence of solar power generation make it difficult to
achieve the desired accuracy of PV output-power prediction. Therefore, the time learning …
achieve the desired accuracy of PV output-power prediction. Therefore, the time learning …
[HTML][HTML] Infinite hidden Markov model for short-term solar irradiance forecasting
Hidden state models are among the most widely used and efficient schemes for solar
irradiance modeling in general and forecasting in particular. However, the complexity of …
irradiance modeling in general and forecasting in particular. However, the complexity of …
Analysis of high frequency photovoltaic solar energy fluctuations
Characterizing short-term variability of generated solar power is important for the integration
of photovoltaic (PV) systems into the electrical grid. Using different kinds of high frequency …
of photovoltaic (PV) systems into the electrical grid. Using different kinds of high frequency …
Probabilistic forecasting of high-resolution clear-sky index time-series using a Markov-chain mixture distribution model
This study presents a Markov-chain mixture (MCM) distribution model for forecasting the
clear-sky index—normalized global horizontal irradiance. The model is presented in …
clear-sky index—normalized global horizontal irradiance. The model is presented in …
[HTML][HTML] Forecasting day-ahead 1-minute irradiance variability from numerical weather predictions
Accurate forecasts of solar irradiance are required for the large-scale integration of solar
photovoltaic (PV) systems. Fluctuations of energy generation in the order of minutes can …
photovoltaic (PV) systems. Fluctuations of energy generation in the order of minutes can …
[HTML][HTML] Overirradiance conditions and their impact on the spectral distribution at low-and mid-latitude sites
Lately, the photovoltaics community has shown an increased interest in overirradiance
conditions as there is the possibility that such conditions might lead to malfunctions in …
conditions as there is the possibility that such conditions might lead to malfunctions in …
Quantifiers for the solar irradiance variability: A new perspective
This paper focuses on variability in solar irradiance time series. Six quantifiers for the solar
irradiance variability, very different in their nature, are analyzed. One of them, based on the …
irradiance variability, very different in their nature, are analyzed. One of them, based on the …