Energy planning in general may allow for simple cost-benefit analysis; however, sustainable energy planning with the multiple factors and tradeoffs involved requires a different approach. Multi-criteria analysis is a natural part of the process in many cases, and a number of techniques have been applied so far. Many of them can be realized using Analytica, which gives modelers the added advantage of being able to switch rapidly between deterministic and stochastic approaches by selecting appropriate probability distributions.
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Analysis in sustainable energy planning
Sean Salleh
Sean Salleh, a data scientist is experienced in guiding marketing strategy, forecasting models, scenario planning models, and algorithms. He has a master's degree in Operations Research from UC Irvine and Mathematics from Northeastern University.
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