Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation

Mengshoel, Ole J.; Sundararajan, Priya Krishnan; Reed, Erik; Piao, Dongzhen; Johnson, Briana

doi:10.1007/978-3-030-04303-2_5

Cited by 1 publication

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another study aimed at computing probabilities of power system states to enable renewable energy integration into smart grids and improve power flow control. The approach addressed a more sophisticated issue of real-time modeling of power systems [31].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

An Integrated Approach to the Realization of Saudi Arabia’s Energy Sustainability

2020

View full text Add to dashboard Cite

As system thinking is a recognized approach to the comprehension and realization of energy sustainability, this paper applies a holistic representation to the World Energy Trilemma Index (WETI) key indicators using Bayesian Belief Networks (BBN) to illuminate the probabilistic information of their influences in Saudi Arabia’s context. The reached realization is suggested to inform the policies to improve energy sustainability, and thus the country’s rank in the WETI. The analysis used two groups of learning cases, one used the energy statistics of the period from 1995 to 2019 to show the outlook of the Business as Usual path, and the other addressed the projected data for the period from 2018 to 2037 to investigate the expected impact of the new policies. For both BAU and new policies, the BBN calculated the improvement, stability, and declining beliefs. The most influential factors on energy sustainability performance were the electricity generation mix, CO2 emissions, energy intensity, and energy storage. Moreover, the interlinkage between the influential indicators and their causes was estimated in the new policies model. A back-casting analysis was carried out to show the changes required to drive the improvement belief to 100%. The compiled BBN can be used to support structuring policymaking and analyzing the projections’ outcomes by investigating different scenarios for improvement probabilities of energy sustainability.

show abstract

Section: Discussionmentioning

confidence: 99%

“…In energy systems and energy policy, the BBN has been for providing a tool for policymaking in the renewable energy sector [28], decision-making in clean energy investment [29], assessment of power systems [30], and the integration of renewables into the grids [31].…”

Section: Bbn Represents the Probabilistic Relationships Between A Set Of Variables In A Directedmentioning

confidence: 99%

An Integrated Approach to the Realization of Saudi Arabia’s Energy Sustainability

2020

View full text Add to dashboard Cite

show abstract

Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation

Cited by 1 publication

References 35 publications

An Integrated Approach to the Realization of Saudi Arabia’s Energy Sustainability

An Integrated Approach to the Realization of Saudi Arabia’s Energy Sustainability

Contact Info

Product

Resources

About