Quantitative Forecasting for Renewable Power Generation: Fuzzy Logic Approach
Abstract
In this research study, we will extend available stochastic methodologies to address both stochastic and linguistic uncertainties. Fuzzy logic theory is an effective tool to represent linguistic uncertainties in modeling. Therefore, by fuzzification of stochastic methodologies we will account for a broader range of uncertainties in the forecast and consequently in grid/microgrid operations.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 17, 2016
- Source ID
- W911NF1510498
Entities
People
- Saeed Jafarzadeh
Organizations
- Army Contracting Command
- California State University, Bakersfield
- Office of the Secretary of Defense