4.5 Article

Probabilistic Forecasting of Wind and Solar Farm Output

Related references

Note: Only part of the references are listed.
Article Green & Sustainable Science & Technology

Probabilistic wind power forecasting using selective ensemble of finite mixture Gaussian process regression models

Huaiping Jin et al.

Summary: A novel probabilistic wind power forecasting method based on selective ensemble of finite mixture Gaussian process regression models (SEFMGPR) is proposed in this study, which enhances prediction accuracy by constructing diverse GPR models, integrating FMGPR models, and selecting highly influential models using genetic algorithm. Additionally, an incremental adaptation mechanism is employed to alleviate performance degradation. Application results demonstrate that SEFMGPR outperforms traditional global and ensemble wind power prediction methods in handling time-varying changes and maintaining high prediction accuracy.

RENEWABLE ENERGY (2021)

Article Energy & Fuels

A new climatology reference model to benchmark probabilistic solar forecasts

Josselin Le Gal La Salle et al.

Summary: Probabilistic solar forecasting is a major topic in the solar research community offering more information about forecast uncertainty, standardized best practices and benchmark models are crucial for its adoption.

SOLAR ENERGY (2021)

Review Green & Sustainable Science & Technology

A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

R. Ahmed et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

Article Energy & Fuels

Verification of deterministic solar forecasts

Dazhi Yang et al.

SOLAR ENERGY (2020)

Article Energy & Fuels

Verification of solar irradiance probabilistic forecasts

Philippe Lauret et al.

SOLAR ENERGY (2019)

Review Green & Sustainable Science & Technology

Review on probabilistic forecasting of photovoltaic power production and electricity consumption

D. W. van der Meer et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Article Engineering, Electrical & Electronic

Very Short-Term Nonparametric Probabilistic Forecasting of Renewable Energy Generation-With Application to Solar Energy

Faranak Golestaneh et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2016)

Article Energy & Fuels

Nonparametric short-term probabilistic forecasting for solar radiation

Adrian Grantham et al.

SOLAR ENERGY (2016)

Article Energy & Fuels

An analog ensemble for short-term probabilistic solar power forecast

S. Alessandrini et al.

APPLIED ENERGY (2015)

Article Energy & Fuels

Short-term reforecasting of power output from a 48 MWe solar PV plant

Yinghao Chu et al.

SOLAR ENERGY (2015)

Review Green & Sustainable Science & Technology

Review on probabilistic forecasting of wind power generation

Yao Zhang et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)

Article Statistics & Probability

Very-short-term probabilistic forecasting of wind power with generalized logit-normal distributions

P. Pinson

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2012)

Review Statistics & Probability

Strictly proper scoring rules, prediction, and estimation

Tilmann Gneiting et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2007)