December 2024
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Publications (31)
December 2024
September 2024
May 2024
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1 Read
May 2024
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17 Reads
E3S Web of Conferences
This paper discusses the possibility of combining low-carbon intelligent power management technology with carbon emission accounting systems in the context of the pressing global climate change. The article emphasizes the crucial role of these technologies in promoting sustainable power system development. It introduces the basic principles of carbon emission accounting and its application in the electricity industry, highlighting how the integration of intelligent power management with emission accounting can help reduce carbon emissions. Furthermore, the paper provides insights into algorithm development and real case studies, demonstrating the effectiveness of these methods. In summary, this integrated approach supports a cleaner, more sustainable energy future.
March 2024
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1 Citation
March 2024
March 2024
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18 Reads
Communications in Computer and Information Science
Accurately predicting electricity demand is of crucial importance for optimizing power resource allocation, improving grid operation safety and providing significant economic benefits. In recent years, deep learning models have been widely employed in time series analysis tasks, such as recurrent neural networks (RNNs), gradient boosting decision trees (GBDT), and transformer networks. However, these methods only focus on a single time dimension. For a specific periodic process, the temporal variations at each time point within the process are not only related to neighboring moments but also highly correlated with neighboring periods, exhibiting both intraperiod and interperiod temporal changes. In this study, we propose the TimesNet temporal forecasting model and conduct experiments using electricity consumption data from the A city, combined with a series of covariates such as temperature and holidays, to train the model and predict electricity consumption. We compare the performance of TimesNet with other methods, and the results demonstrate that the TimesNet model outperforms the other models. Overall, the hybrid model we propose provides a valuable framework for accurately predicting electricity demand and holds practical significance for managing and operating power grids in urban areas.
February 2024
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2 Reads
December 2023
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1 Read
Citations (7)
... Moreover, managers' perceptions of environmental troubles as opportunities or threats can affect the choice of green innovation strategies (Sharma, 2000). Management with varying capabilities evaluates the costs and benefits of green innovation practices in different ways; they render heterogeneous judgments concerning environmental issues and execute diverse strategic targeting of enterprise green innovation (Mao et al., 2023;Yang et al., 2023). This unquestionably can affect the efficacy of enterprises' green production (Lara and Salas-Vallina, 2017). ...
- Citing Article
- Full-text available
July 2023
Energy Efficiency
... Þ [12]  ªè °½ AE ñ , AE AE . Þ [13]  ªè õ 5G Í AEAEAE º, Ó°½ ¢Þ. ...
Reference:
考虑通信服务质量的5G基站与工业园区新型电力系统协同运行
- Citing Conference Paper
May 2022
... The promotion of green consumption concepts is critical for advancing clean energy adoption. However, residents in Henan Province still have limited awareness of clean energy and energy-saving practices [8]. ...
- Citing Article
January 2021
SSRN Electronic Journal
... As shown in Figure 2, power factor correction (PFC) and battery management (BMS) are used to improve power factor and battery utilization, respectively. The common base station power supply system is powered by a 48 V DC bus, which is connected to the DC load and backup battery [12,13]. With the increase in power supply distance, 48 V low-voltage DC power supply will not only increase the cost but also cause problems such as excessive line voltage drop, which cannot meet the basic power supply requirements of communication equipment, and have adverse effects on efficiency and economy [14,15]. ...
- Citing Conference Paper
January 2021
... The augment of residents' material living conditions is accompanied by an increase in environmental health risks. Air pollution, such as haze, can directly affect people's health [44]. A large amount of fine respirable particles will give rise to many diseases, like respiratory tract infections, asthma, and chronic blockage of the pulmonary. ...
- Citing Article
- Publisher preview available
February 2021
Environmental Science and Pollution Research
... Sun et al. [28], Zhao and Wei [29], and Wu et al. [30], respectively, introduced the applications of the SSBM-DEA model, the traditional DEA model, and the DEA-BCC model to the efficiency analysis of the domestic energy industry, and evaluated the energy efficiency of the industry and manufacturing industry in a holistic way. Liu et al. [31] optimized the traditional DEA model and used the optimized model to calculate the industrial energy efficiencies of 30 provinces. The traditional DEA model is the default in homogenous environmental conditions to measure input and output efficiencies, but in real production environments, the SFA Tobit regression model is considered, combined with the DEA model, respectively, in two new stages, and the three stages of the DEA method are used to evaluate energy enterprises' real technical levels and scale economies. ...
- Citing Article
- Full-text available
December 2018
IOP Conference Series Materials Science and Engineering
... Domestic and foreign scholars have conducted extensive research on the scarce pricing mechanism in the electricity market. Previous studies have introduced various mechanisms, such as centralized capacity markets [1], reliability option auctions [2], decentralized capacity obligations [3], fixed capacity compensation [4], strategic reserve mode [5], and scarcity pricing [6], based on the typical international practice of capacity adequacy mechanism, but these studies only introduce the principles and overall framework of related mechanism designs abroad. References [7][8] have designed new capacity market mechanisms and capacity compensation mechanisms suitable for China's power system, respectively, proposing mechanism design schemes for market operating economic efficiency, energy transition needs and other objectives. ...
- Citing Conference Paper
November 2018
AIP Conference Proceedings