Risk-based optimization of the debt service schedule in renewable energy project finance-Reference-Cited by-同舟云学术

Risk-based optimization of the debt service schedule in renewable energy project finance

Published:2021-06 Issue: Volume:70 Page:101197
ISSN:0957-1787
Container-title:Utilities Policy
language:en
Short-container-title:Utilities Policy

Author:

Firouzi Afshin^ORCID,Meshkani Ali

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Sociology and Political Science,Development,Business and International Management

Reference73 articles.

1. Probabilistic simulation studies for repetitive construction processes;Abourizk;J. Construct. Eng. Manag.,1990

2. Hourly yield prediction of a double-slope solar still hybrid with rubber scrapers in low-latitude areas based on the particle swarm optimization technique;Al-Sulttani;Appl. Energy,2017

3. The Philosophy of Credit Valuation: Credit Valuation Model;Alfons Vasicek,1984

4. Energetic, economic and environmental (3E) analyses and LCOE estimation of three technologies of PV grid-connected systems under different climates;Allouhi;Sol. Energy,2019

5. Reduced Form vs. Structural Models of Credit Risk: A Case Study of Three Models Reduced Form vs. Structural Models of Credit Risk: A Case Study of Three Models *;Arora,2005

Cited by 8 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. Geospatial analysis of Indonesia's bankable utility-scale solar PV potential using elements of project finance;Energy;2023-11

2. The Impact of Financial Leverage on the Financial Performance of the Firms Listed on the Tokyo Stock Exchange;SAGE Open;2023-10

3. Simulation Research on Real Estate Financial Data Analysis Based on Improved Genetic Algorithm;2023 5th International Conference on Decision Science & Management (ICDSM);2023-03-03

4. Energy management strategy and renewable energy integration within multi-microgrid framework utilizing multi-objective modified personal best particle swarm optimization;Sustainable Energy Technologies and Assessments;2022-10

5. Methods for Financial Assessment of Renewable Energy Projects: A Review;Processes;2022-01-18