Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
The Political Complexity of Regional Electricity Policy Formation
Kyungjin Yoo,
Seth Blumsack
John and Willie Leone Department of Energy & Mineral Engineering (EME)
Institute for Computational and Data Sciences (ICDS)
Materials Research Institute (MRI)
Institute of Energy and the Environment (IEE)
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'The Political Complexity of Regional Electricity Policy Formation'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Policy Formation
100%
Political Sophistication
100%
Regional Electricity
100%
Degree Distribution
75%
Political Power
75%
Electric Power
50%
Electric Grid
50%
Fat Tails
50%
Renewable Energy Integration
50%
Market Rules
50%
Mid-Atlantic United States
25%
Economic Viability
25%
Community Detection
25%
Technical Success
25%
Renewable Electricity
25%
Mixing Parameters
25%
Policy Issues
25%
Regional Framework
25%
Graph Model
25%
Renewable Energy Investment
25%
Central Authority
25%
Voting Behavior
25%
Political Boundaries
25%
Electricity Market
25%
Integration Effort
25%
Multi-stakeholder
25%
Electrical Grid
25%
Network Metrics
25%
Including Degrees
25%
Central Government
25%
Stakeholder Approach
25%
Policy Rules
25%
Technological Transition
25%
Rule Change
25%
Stakeholder Perceptions
25%
Divergent Interest
25%
Major Technologies
25%
Political Decisions
25%
Regional Transmission Operators
25%
Stakeholder Network
25%
Organizational Adaptation
25%
Swing Voters
25%
Canonical Graph
25%
Transmission Grid
25%
Engineering
Market Rule
100%
Power Supply
50%
Metrics
50%
Technical Challenge
50%
Renewables
50%
Power Grid
50%
Energy Integration
50%
Simple Network
50%
Provide Support
50%
Electrical Grid
50%
Policy Rule
50%
Computer Science
Degree Distribution
100%
Semistructured Interview
33%
Community Detection
33%
Betweenness
33%
Detection Method
33%
Technical Challenge
33%
Regional Organization
33%
Electrical Grid
33%
Central Authority
33%
Electric Grids
33%
Energy Integration
33%
Voting Behavior
33%
Renewable Power
33%
Social Sciences
Electric Power
100%
Political Power
100%
Technological Change
33%
Generalizable
33%
Regional Organization
33%
Voting Behavior
33%
Organizational Adaptation
33%
Economics, Econometrics and Finance
Voting Behavior
100%
Organizational Adaptation
100%