What is it about?
This paper is about finding a way to efficiently manage energy systems that use renewable energy sources like wind and solar power. We propose a new method that takes into account the uncertainty of these renewable sources and the energy demand of buildings. We also consider the comfort of people living in these buildings. We tested our method on a real energy system in North China and found that it works well. Our method can help energy managers make better decisions and save money while reducing the impact on the environment.
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Why is it important?
It is important because renewable energy sources like wind and solar power are becoming more popular, but they are also unpredictable. This makes it difficult to manage energy systems that use them. Our method takes into account this unpredictability and the comfort of people living in buildings, which can help energy managers make better decisions and save money while reducing the impact on the environment.
Read the Original
This page is a summary of: Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response, Applied Energy, April 2023, Elsevier, DOI: 10.1016/j.apenergy.2023.120749.
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