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Title: Quantifying the value of probabilistic forecasting for power system operation planning

Journal Article · · Applied Energy

Not Available

Research Organization:
Electric Power Research Institute (EPRI), Palo Alto, CA (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
Grant/Contract Number:
EE0008601
OSTI ID:
1974258
Journal Information:
Applied Energy, Journal Name: Applied Energy Journal Issue: C Vol. 343; ISSN 0306-2619
Publisher:
ElsevierCopyright Statement
Country of Publication:
United Kingdom
Language:
English

References (24)

The value of improved wind power forecasting: Grid flexibility quantification, ramp capability analysis, and impacts of electricity market operation timescales journal December 2016
Sizing ramping reserve using probabilistic solar forecasts: A data-driven method journal May 2022
Uncertainty analysis for day ahead power reserve quantification in an urban microgrid including PV generators journal June 2017
Using probabilistic solar power forecasts to inform flexible ramp product procurement for the California ISO journal January 2022
Probabilistic solar forecasting benchmarks on a standardized dataset at Folsom, California journal August 2020
A review on the integration of probabilistic solar forecasting in power systems journal November 2020
A new climatology reference model to benchmark probabilistic solar forecasts journal July 2021
Stochastic production simulation for generating capacity reliability evaluation in power systems with high renewable penetration journal November 2020
The WRF-Solar Ensemble Prediction System to Provide Solar Irradiance Probabilistic Forecasts journal January 2022
Evaluating Potential Benefits of Flexible Solar Power Generation in the Southern Company System journal January 2022
How Can Probabilistic Solar Power Forecasts Be Used to Lower Costs and Improve Reliability in Power Spot Markets? A Review and Application to Flexiramp Requirements journal January 2022
Wind integration and the need for advanced decision support tools conference July 2011
Using Probabilistic Forecasts in Stochastic Optimization conference August 2020
Enhancing Power System Operational Flexibility With Flexible Ramping Products: A Review journal August 2017
Probabilistic Solar Irradiation Forecasting Based on Variational Bayesian Inference With Secure Federated Learning journal November 2021
Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals journal September 2015
A Computational Strategy to Solve Preventive Risk-Based Security-Constrained OPF journal May 2013
The Swiss Reserve Market: Stochastic Programming in Practice journal March 2016
Operation of a High Renewable Penetrated Power System With CSP Plants: A Look-Ahead Stochastic Unit Commitment Model journal January 2019
Incorporating Uncertainty of Wind Power Generation Forecast Into Power System Operation, Dispatch, and Unit Commitment Procedures journal October 2011
Quantifying the Economic and Grid Reliability Impacts of Improved Wind Power Forecasting journal October 2016
Probabilistic Solar Power Forecasting Using Bayesian Model Averaging journal January 2021
Probabilistic Solar Power Forecasting Based on Bivariate Conditional Solar Irradiation Distributions journal October 2021
Scoring Rules for Continuous Probability Distributions journal June 1976