"Impact of human energy usage behavior change through tailor-made hands-on training on energy conservation for no-cost energy conservation measures". If you can do a longitudinal study and analyze the actual energy consumption data in one or two applications by PLS SEM then the result will be remarkable.

1. Energy Efficiency and Economic Growth Using Stochastic Frontier Approach

2. The Impact of OPEC Policy Adjustments on Global Oil Market Stability: An Empirical Analysis of Supply-Demand Dynamics.

3. The Role of Energy Efficiency in Shaping Global Energy Markets: An Empirical Assessment of Energy demand and Market Responses

The Impact of Energy Efficiency Policies on Industrial Competitiveness: Evidence from [Country/Region]. Objective: Investigate how energy efficiency policies (e.g., energy audits, tax incentives, or regulatory measures) influence the competitiveness of industries. Methodology: Use panel data regression or difference-in-differences (DID) analysis to compare industries with and without exposure to efficiency policies.

For energy efficiency, you could analyze the impact of smart meters on household electricity use (panel data/DID), assess whether building retrofits lower commercial energy consumption (regression discontinuity), evaluate how carbon taxes affect industrial energy intensity (cross-country panel regression), or test if behavioral nudges like energy apps reduce residential waste (RCTs).

For energy diversification, potential topics include studying how solar/wind adoption impacts grid stability (time-series/VAR), analyzing the role of battery storage in renewable integration (case studies), examining if geopolitical shocks (e.g., Ukraine war) accelerated the EU’s shift from Russian gas (event study/synthetic control), or investigating how microgrids improve energy access in developing nations (household surveys/PSM). A hybrid topic could explore whether energy efficiency policies reduce reliance on fossil fuel diversification.