  The energy market, and specifically the renewable sector carries volatility
and risks, similar to the financial market. Here, we leverage on a
well-established, return-risk approach, commonly used by equity
portfolio-managers and apply it to energy resources. We visualize the
relationship between the resources' costs and their risks in terms of efficient
frontiers. We apply this analysis to publically available data for various US
regions: Central, Eastern and Western coasts. Since risk management is
contingent on costs, this approach sheds useful light in assessing dynamic
pricing in modern electrical grids. By integrating geographical and temporal
dimensions into our research, we aim at providing more nuanced and
context-specific recommendations for energy resource allocation. This approach
may help decision-makers in the renewable energy sector to make informed
choices that account for regional variations, climatic conditions, and
long-term performance trends.
