Market Trading Model of Urban Energy Internet Based on Tripartite Game Theory

Li, Jun; Chen, Jinchun; Wang, Chao; Chen, Zhang; Liu, Xinglei

doi:10.3390/en13071834

Cited by 4 publications

(1 citation statement)

References 30 publications

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“…Energy has always played a fundamental role in modern society and economy, and has shown great importance in the past three industrial technological revolutions. The ongoing fourth technological revolution will be no exception, and revolutionary breakthroughs in the energy sector are bound to become the focus (Liu et al, 2020;Chen et al, 2021). Promoting the strategies of carbon peaking and carbon neutrality is a broad and profound transformation of social and economic systems, in which the low-carbon transformation of the energy system will be the key to achieving the "dual carbon" goal.…”

Section: Introductionmentioning

confidence: 99%

A novel data-driven multi-energy load forecasting model

Yao¹,

Li²,

Wu³

et al. 2022

Front. Energy Res.

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With the increasing concern on energy crisis, the coordination of multiple energy sources and low-carbon economic operation of integrated energy system (IES) have drawn more and more attention in recent years. In IES, accurate and effective multi-energy load forecasting becomes a research hotspot, especially using the high-performance data mining and machine learning algorithms. However, due to the huge difference in energy utilization between IES and traditional energy systems, the load forecasting of IES is more difficult and complex. In fact, in IES, load forecasting is not only related to external factors such as meteorological parameters and different seasons, but the correlation between energy consumption of different types of loads also plays an important role. In order to deal with the strong coupling and high uncertainty issues in IES, a novel data-driven multi-energy load forecasting model is proposed in this paper. Firstly, a feature extraction method based on Uniform Manifold Approximation and Projection (UMAP) for multi-energy load of the IES is developed, which reduces the dimension of the complex nonlinear input data. Then, considering multi-energy coupling correlation, a combined TCN-NBeats model is proposed for the joint prediction of multi-energy loads, aiming to improve the prediction accuracy through ensemble learning. Finally, the numerical case analysis using the multi-energy consumption data of an actual campus verifies the effectiveness and accuracy of the proposed data-driven multi-energy load forecasting model.

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Section: Introductionmentioning

confidence: 99%

A novel data-driven multi-energy load forecasting model

Yao¹,

Li²,

Wu³

et al. 2022

Front. Energy Res.

Self Cite

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An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision

Liu

Ren

et al. 2022

Energy

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Applied Research and Prospects of Triboelectric Nanogenerators Based on Waste Plastic Bags

Yan¹

2022

International Journal of Electrochemical Science

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The increasing production of plastic products and insufficient recycling have caused the problem of white pollution to plague the world, which has severely impacted the ecological environment, marine life, and drainage systems. Moreover, the widespread application of low-consumption electronic devices makes power consumption a non-negligible factor. Therefore, recycling discarded plastic bags as the friction material of triboelectric nanogenerators (TENGs), collecting mechanical energy in daily life and converting it into continuous and stable electricity, can alleviate the two major problems of white pollution and energy consumption simultaneously. Furthermore, self-powered systems constructed using TENGs have enormous potential for driving low-consumption electronics, environmental monitoring, and wearable devices. Accordingly, this paper summarizes the general situation of white pollution, the theoretical origin, working principle, and theoretical model of TENGs, analyzes the feasibility of using waste plastic bags for TENGs, with the application progress of this self-powered sensing system, and looks forward to the future.

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Market Trading Model of Urban Energy Internet Based on Tripartite Game Theory

Cited by 4 publications

References 30 publications

A novel data-driven multi-energy load forecasting model

A novel data-driven multi-energy load forecasting model

An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision

Applied Research and Prospects of Triboelectric Nanogenerators Based on Waste Plastic Bags

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