Optimizing Solar Panel Selection: A Comparative Analysis using AHP, Entropy, and Equal Weights in TOPSIS Methodologies

Solar energy is only the best capable and environmentally approachable sources of energy, as it has great potential to convert available solar radiation directly into electricity everywhere. In addition, as the cost of photovoltaic (PV) systems goes down, PV becomes more modest with other energy sources and concern in solar panels from companies and individuals. In this study, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to evaluate the solar panels. TOPSIS is applied with three types of weights: Analytic Hierarchy Process (AHP), Entropy Weights (EW), and equally weighted. The AHP is a mathematical and psychological strategy for multi - criteria decision making. It is a very exact way to determine the weights of preferences. It enables with both qualitative and quantitative parameters to be used in the review process. It assigns significant weights to the responses set of decision manufacturer's preferences. When determining attribute weights for TOPSIS, the entropy technique is usually utilized, and the weight acquired by the entropy technique is always referred to as EW. The observed findings demonstrate the appropriateness and utility of the suggested methodology in resolving the solar panel selection problem.