Clean energy investment scenarios using the Bayesian network

被引：10

作者：

Daim, Tugrul ^{[1
]}

Kayakutlu, Gulgun ^{[2
]}

Suharto, Yulianto ^{[1
]}

Bayram, Andyagmur ^{[2
]}

机构：

[1] Portland State Univ, Dept Engn & Technol Management, Portland, OR USA

[2] Istanbul Tech Univ, Dept Ind Engn, Istanbul, Turkey

来源：

INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY | 2014年 / 33卷 / 02期

关键词：

Bayes network; clean energy; scenario analysis;

D O I：

10.1080/14786451.2012.744311

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Clean energy investment decisions are getting more difficult to make due to public reactions. In order to support the policies in the field, analysis of the positive conditions is needed. This research aims to construct the positive scenarios for nuclear energy and renewable energy investments in the state of Oregon, USA. The Bayesian network technique will be used to create the scenarios. Oregon has a wide range of renewable energies; hence, investment is becoming more complex. Criteria affecting the decisions are taken from the literature, but were reviewed with energy authorities in Oregon in order to define the interactions.

引用

页码：400 / 415

页数：16

共 50 条

[31] Using Bayesian network on network tomography
Zhu, WP
COMPUTER COMMUNICATIONS, 2003, 26 (02) : 155 - 163
[32] Assessing the environmental impacts of clean energy investment in Pakistan using a dynamic autoregressive distributed lag model
Ullah, Sami
Lin, Boqiang
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 365
[33] EU-GCC Clean Energy Network
Doukas, Haris
Flamos, Alexandros
Psarras, John
INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2013, 7 (02) : 121 - 131
[34] Projections of intertidal estuarine seagrass distribution under climate change scenarios using a Bayesian network approach
Mandiola, Gotzon
Galparsoro, Ibon
Valle, Mireia
Mikel Garmendia, Joxe
Garnier, Roland
Franco, Javier
Borja, Angel
Chust, Guillem
Pouso, Sarai
Bald, Juan
Fernandes-Salvador, Jose A.
ESTUARINE COASTAL AND SHELF SCIENCE, 2025, 313
[35] Do Investment Strategies Matter for Trading Global Clean Energy and Global Energy ETFs?
Day, Min-Yuh
Ni, Yensen
Hsu, Chinning
Huang, Paoyu
ENERGIES, 2022, 15 (09)
[36] Magnetic refrigeration technology for an international clean energy network using hydrogen energy (WE-NET)
Iwasaki, W
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2003, 28 (05) : 559 - 567
[37] Energy performance evaluation of OECD countries using Bayesian stochastic frontier analysis and Bayesian network classifiers
Cengiz, Mehmet Ali
Dunder, Emre
Senel, Talat
JOURNAL OF APPLIED STATISTICS, 2018, 45 (01) : 17 - 25
[38] On the dynamic dependence and investment performance of crude oil and clean energy stocks
Ahmad, Wasim
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2017, 42 : 376 - 389
[39] What are the shocks of climate change on clean energy investment: A diversified exploration
Chen, Xia
Fu, Qiang
Chang, Chun-Ping
ENERGY ECONOMICS, 2021, 95
[40] Encouraging clean energy investment in developing countries: what role for aid?
Buntaine, Mark T.
Pizer, William A.
CLIMATE POLICY, 2015, 15 (05) : 543 - 564

← 1 2 3 4 5 →