Energy Optimization for Microgrids Based on Uncertainty-Aware Deep
To enhance the scheduling capabilities of microgrids in uncertain environments, many scholars have proposed various uncertainty optimization methods, such as robust optimization,
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Read more +Advanced AI approaches for the modeling and optimization of
Even with an existing combination of microgrid components, our findings demonstrate the potential to modify and optimize this combination to achieve the optimal configuration.
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Read more +Integrated Models and Tools for Microgrid Planning and Designs
This white paper focuses on tools that support design, planning and operation of microgrids (or aggregations of microgrids) for multiple needs and stakeholders (e.g., utilities, developers,
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Read more +A data-driven framework for microgrid design integrating machine
To achieve these objectives, we developed a data-driven model that combines Homer-Pro with a custom Python tool integrating extreme gradient boosting (XGBoost) machine learning algorithm and thirteen
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Read more +Collaborative configuration optimization of renewable energy
A decision-making model for RE generation investment portfolio selection is developed by integrating the CFSE and FITradeoff methods. This model addresses the uncertainty of input data
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Read more +A Reinforcement Learning Approach for Optimal Control in
Abstract—The increasing integration of renewable energy sources (RESs) is transforming traditional power grid networks, which require new approaches for managing decentralized en-ergy production
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Read more +Multi-Criteria Decision Analysis Approach for DC Microgrid Bus
multi-criteria decision analysis (MCDA) provides a systematic approach. In this study, six distinct DC microgrid configurations are defined as potential alternatives: unipolar, bipolar, mul.
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Read more +Research on the Optimal Configuration Model of Microgrid Energy
With the large-scale integration of renewable energy, the uncertainty of source-load balance and the startup characteristics of power sources impose higher requirements on the economic and reliability
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Read more +A Multi-criteria Decision-Making Model for Technology Selection in
This study proposes a multi-criteria decision-making model for technology selection for renewable-based residential microgrids, which is one of the most important decisions in the planning
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Read more +Collaborative configuration optimization of renewable energy
Collaborative planning of renewable energy generation in microgrid clusters enables resource complementarity. However, limited information leads to inconsistent investment evaluation results for
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