Optimization of renewable energy project portfolio selection using hybrid AIS-AFS algorithm in an international case study.

ABSTRACT: In the coming decade, as restrictions on fossil fuel usage become more stringent, investment in renewable energy projects presents an increasingly appealing opportunity. Evaluating investment attractiveness involves considering both profitability and investment risk. This study proposes a multi-objective mathematical model for identifying the optimal Renewable Energy Project Portfolio (REPP), aiming to maximize net present value while minimizing investment risk. The key innovation of this model is its incorporation of project lifetime and workforce employment considerations to discern the best REPP. To optimize the objective functions of this mathematical model, a hybrid meta-heuristic algorithm combining Artificial Immune System (AIS) and Artificial Fish Swarm (AFS) algorithms is introduc

SUBMITTER: Goli A 

PROVIDER: S-EPMC11286750 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature