In the context of today’s world, the importance of developing sustainable energy solutions cannot be overstated. With the increase in environmental concerns and the need for a healthier planet, finding ways to reduce carbon emissions and improve energy efficiency is of utmost importance. In particular, countries like Ghana and Zambia have shown tremendous potential for success in the field of clean energy. To fully exploit this potential, it is crucial to adopt a multidimensional approach, such as integrating machine learning, surveys, and qualitative approaches into the energy planning process. By doing so, policymakers can acquire a more comprehensive and nuanced understanding of the energy requirements and consumption patterns across the two countries. Surveys can reveal critical insights into customer trends and preferences regarding clean energy sources. In contrast, the qualitative approach involving focus groups and interviews can provide valuable cultural context and local knowledge. Additionally, by utilizing machine learning algorithms to analyze increasingly complex datasets, policymakers can create contextually-relevant energy planning models that can help drive sustainable development in the region. In conclusion, by implementing these comprehensive approaches, clean energy solutions can be achieved, ultimately fostering sustainable development in the region.