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-Reference-Cited by-同舟云学术

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

Published:2022 Issue: Volume:9 Page:437-450
ISSN:2687-7910
Container-title:IEEE Open Access Journal of Power and Energy
language:
Short-container-title:IEEE Open J. Power Energy

Author:

Hobbs Benjamin F.¹^ORCID,Krishnan Venkat²,Zhang Jie³^ORCID,Hamann Hendrik F.⁴,Siebenschuh Carlo⁴,Zhang Rui⁴,Li Binghui³^ORCID,He Li³^ORCID,Edwards Paul²,Sky Haiku²,Krad Ibrahim²,Spyrou Evangelia²^ORCID,Fang Xin²^ORCID,Wang Yijiao¹,Xu Q.¹,Zhang Shu¹

Affiliation:

1. Robert O’Connor Sustainable Energy Institute, Johns Hopkins University, Baltimore, MD, USA

2. National Renewable Energy Laboratory, Golden, CO, USA

3. Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX, USA

4. IBM Thomas J. Watson Center, Yorktown Heights, NY, USA

Funder

US Department of Energy, EERE Solar Energy Technologies Office

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

https://ieeexplore.ieee.org/ielam/8784343/9662292/9931726-aam.pdf

Reference63 articles.

1. Wind Power Ramp Event Forecasting Using a Stochastic Scenario Generation Method

2. Enhancing Power System Operational Flexibility With Flexible Ramping Products: A Review

3. Operating dynamic reserve dimensioning using probabilistic forecasts;costilla-enriquez;IEEE Trans Power Syst,2022

4. Wind power forecasting uncertainty and unit commitment

5. Dynamic dimensioning approach for operating reserves: Proof of concept in Belgium

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating the value of ECMWF EPS for photovoltaic power forecasting;Solar Energy;2024-09

2. Chance Constrained Day Ahead Stochastic Unit Commitment with Multiple Uncertainties;Journal of Electrical Engineering & Technology;2024-08-02

3. Machine Learning for Renewable Energy Forecasting for Hydroelectricity;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

4. Life cycle assessment and forecasting for 30kW solar power plant using machine learning algorithms;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2024-03

5. Optimal peak-shaving for dynamic demand response in smart Malaysian commercial buildings utilizing an efficient PV-BES system;Sustainable Cities and Society;2024-02