Current Issue

  • Deep learning in power systems research: A review

    Abstract

      2021-3

    With the rapid growth of power systems measurements in terms of size and complexity, discovering statistical patterns for a large variety of real-world applications such as renewable energy prediction, demand response, energy disaggregation, and state estimation is considered a crucial challenge. In recent years, deep learning has emerged as a novel class of machine learning algorithms that repres...

  • Review of learning-assisted power system optimization

    Abstract

      2021-3

    With dramatic breakthroughs in recent years, machine learning is showing great potential to upgrade the toolbox for power system optimization. Understanding the strength and limitation of machine learning approaches is crucial to decide when and how to deploy them to boost the optimization performance. This paper pays special attention to the coordination between machine learning approaches and op...

  • Interruptible load scheduling model based on an improved chicken swarm optimization algorithm

    Abstract

      

    With the continuous growth of the tertiary industry and residential loads, balancing the power supply and consumption during peak demand time has become a critical issue. Some studies try to alleviate peak load by increasing power generation on the supply side. Due to the short duration of peak load, this may cause redundant installation capacity. Alternatively, others attempt to shave peak demand...

  • Fault diagnosis of power transformers using graph convolutional network

    Abstract

      2021-3

    Existing methods for transformer fault diagnosis either train a classifier to fit the relationship between dissolved gas and fault type or find some similar cases with unknown samples by calculating the similarity metrics. Their accuracy is limited, since they are hard to learn from other algorithms to improve their own performance. To improve the accuracy of transformer fault diagnosis, a novel m...

Introduction

CSEEJPESThe articles published in this journal will focus on advanced concepts, technologies, methodologies and practices associated with all aspects concerning power and energy systems...
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