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.

Perspectives

The proposed method has the potential to make a significant contribution to the field of renewable energy management. The method takes into account the uncertainty of renewable energy sources and the comfort of people living in buildings, which can lead to more efficient and sustainable energy management. I believe that this method can be applied in various contexts and can help address the challenges of integrating renewable energy sources into the power grid. Further research and testing are needed to validate the effectiveness of this method in different scenarios.

Professor/PhD Supervisor/SMIEEE Yang Li
Northeast Electric Power University

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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