Multi-level Governance, Smart Meter Adoption, and Utilities' Energy Efficiency Savings in the U.S
Smart grids enable the alignment of energy supply and demand, enhance energy efficiency, and raise consumer awareness of energy conservation. Smart meter, a vital technological component of smart grids, enables bidirectional communication between consumers and utility companies. This paper employs the two-stage least squares panel data model to examine the effects of federal funding and state legislative actions on smart meter adoption and the resulting energy efficiency savings in the residential sector of the United States. Additionally, we use machine learning techniques to select the subset of control variables that are influential for smart meter adoption and energy efficiency savings. The findings suggest that both federal financial assistance and state legislative actions have positive effects on smart meter adoption, and the interaction of federal funding and state policy interventions have a significantly greater effect on adoption as compared to the sum of the individual policy instrument alone. Furthermore, there exists a positive association between the adoption rate and energy efficiency savings. This study presents empirical evidence that underscores the significance of multi-level governance as an effective means for policy integration regarding smart meter adoptions, and it discusses the policy implications for grid modernization and environmental policies.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
The SMART+ Framework for AI Systems
Artificial Intelligence (AI) systems are now an integral part of multiple industries. In clinical research, AI supports automated adverse event detection in clinical trials, patient eligibility screening for protocol enr…
Fraud DetectionAI Explainability and Governance in Smart Energy Systems: A Review
Traditional electrical power grids have long suffered from operational unreliability, instability, inflexibility, and inefficiency. Smart grids (or smart energy systems) continue to transform the energy sector with emerg…
Decision MakingManagementMulti-Level Barriers to Generative AI Adoption Across Disciplines and Professional Roles in Higher Education
Generative Artificial Intelligence (GenAI) is rapidly reshaping higher education, yet barriers to its adoption across different disciplines and institutional roles remain underexplored. Existing literature frequently att…
S5-SHB Agent: Society 5.0 enabled Multi-model Agentic Blockchain Framework for Smart Home
The smart home is a key application domain within the Society 5.0 vision for a human-centered society. As smart home ecosystems expand with heterogeneous IoT protocols, diverse devices, and evolving threats, autonomous s…
Advanced Drone Swarm Security by Using Blockchain Governance Game
This research contributes to the security design of an advanced smart drone swarm network based on a variant of the Blockchain Governance Game (BGG), which is the theoretical game model to predict the moments of security…