## 18 Citations

An N-state Markov-chain mixture distribution model of the clear-sky index

- MathematicsSolar Energy
- 2018

A spatiotemporal Markov-chain mixture distribution model of the clear-sky index

- Environmental ScienceSolar Energy
- 2019

Probabilistic forecasting of the clear-sky index using Markov-chain mixture distribution and copula models

- Computer Science2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)
- 2019

Two probabilistic forecasting models for the clear-sky index, based on the Markov-chain mixture distribution (MCM) and copula clear-Sky index generators, are presented and evaluated and show that the copula model generally outperforms the PeEn, while the MCM and QR models are superior in all tested aspects.

Probabilistic forecasting of high-resolution clear-sky index time-series using a Markov-chain mixture distribution model

- Environmental Science, Computer ScienceSolar Energy
- 2019

Solar Radiation Nowcasting Using a Markov Chain Multi-Model Approach

- Environmental ScienceEnergies
- 2022

Solar energy has found increasing applications in recent years, and the demand will continue to grow as society redirects to a more renewable development path. However, the required high-frequency…

Assessing Evidence for Weather Regimes Governing Solar Power Generation in Kuwait

- Environmental ScienceEnergies
- 2019

With electricity representing around 20% of the global energy demand, and increasing support for renewable sources of electricity, there is also an escalating need to improve solar forecasts to…

Generation Data of Synthetic High Frequency Solar Irradiance for Data-Driven Decision-Making in Electrical Distribution Grids

- Environmental ScienceEnergies
- 2021

In this paper, we introduce a model representing the key characteristics of high frequency variations of solar irradiance and photovoltaic (PV) power production based on Clear Sky Index (CSI) data.…

A Nested MCMC Method Incorporated With Atmospheric Process Decomposition for Photovoltaic Power Simulation

- EngineeringIEEE Transactions on Sustainable Energy
- 2020

A nested Markov chain Monte Carlo (MCMC) method incorporated with atmospheric process decomposition (APD) for PV power simulation is proposed and the results validate the proposed method's accuracy over previous ones in reproducing PV power characteristics.

A generative hidden Markov model of the clear-sky index

- PhysicsJournal of Renewable and Sustainable Energy
- 2019

Clear-sky index (CSI) generative models are of paramount importance in, e.g., studying the integration of solar power in the electricity grid. Several models have recently been proposed with method…

Probabilistic solar forecasting benchmarks on a standardized dataset at Folsom, California

- Environmental Science, Computer Science
- 2020

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