Development and Implementation of the Smart Village Concept as a Challenge for the Modern Power Industry on the Example of Poland

Nowadays, while cities are often subject to research in terms of their development, especially smart development, studies on rural areas are rare. However, the development of the latter is very important. It is important that rural areas develop economically and socially. Smart villages are a challenge for the modern energy sector. The authors of the article try to answer the question: What are the challenges for the modern energy sector in the context of rural development? The aim of this article is to identify challenges for the modern power industry in the concept of smart countryside development. The article begins with the presentation of the essence of smart villages and the essence of energy policy. The research facilitated the identification of basic challenges that prevent or slow down the development of the smart villages in terms of modern energy solutions, as perceived by experts and residents, and farmers and entrepreneurs operating in rural areas. The article identifies a number of energy challenges in the context of a smart village. They include, among others, a lack of awareness regarding the impact of energy on the environment, a low level of public knowledge about new energy solutions, and a lack of social trust in modern energy solutions in rural areas. The research was conducted in rural areas in the north-western part of Poland. At the end, the article presents a model of rural development in the context of the modern energy sector. The research also allowed the creation of a smart village development model that focuses on smart economy, intelligent environment, intelligent people, and intelligent governance. Since these are universal solutions, they can be used as a proposition for other countries.

Household Customers’ Cost of Interruption: Survey Study on Summer Electricity Peak of Xi’an City

In light of China’s Carbon Neutrality Target and facing the fluctuating pressure of power supply brought on by new energy intermittent power generation, it is urgent to mobilize a large number of residential flexible loads that can respond instantaneously to mitigate peak–valley difference. Under a framework of demand-side management (DSM) and utility analysis, we empirically investigate customers’ costs from interrupting typical electrical terminals at the household level. Specifically, by using the contingent valuation method (CVM), we explore the factors that affect households’ Willingness to Accept (WTA) of voluntarily participating in the interruption management during the summer electricity peak and estimate the distribution of households’ WTA values. We find that given the value of WTA, households’ participation rate in the interruption management significantly decreases with the increase in interruption duration and varies with the type of terminal appliance that is on direct interruption management. Moreover, the majority of households are willing to participate in the interruption management even if the compensation amount is low. The factors that determine households’ WTA and the size of their influences vary with the type of electrical terminal. The results imply that differentiating the terminal electricity market and accurately locking on the target terminals by considering the household heterogeneity can reduce the household welfare losses arising from DSM.

Research on the Promotion of New Energy Vehicles Based on Multi-Source Heterogeneous Data

Under the background of green development, new energy vehicles(NEVs), as an important strategic emerging industry, play a crucial role in energy conservation and emission reduction. In the post-epidemic era, steadily promoting the promotion of NEVs will be a hot topic. Based on heterogeneous source data, combined with the Latent Dirichlet Allocation (LDA) topic model, Social Network Analysis (SNA), and econometric methods, this paper explores whether individual purchase decisions and company-level cooperative research and development will promote the promotion of new energy vehicles. The results show that whether BEV, HEV, or PHEV, users are more concerned about space dimension, power performance, and design style; Patent collaboration network analysis indicates that NEV enterprises are establishing close partnerships, which will urge the promotion of NEVs; For BEV and HEV models, new energy vehicle companies will invest more patents and R&D investment will better expedite the advancement of NEVs.

Jumping Risk Communities in the Energy Industry: An Empirical Analysis Based on Time-Varying Complex Networks

This paper uses the 5-five-minute high-frequency data of energy-listed companies in China's A-share market to extract the jump of energy stock prices and build a dynamic stock price jump complex network. Then, we analyze the clustering effect of the complex network. The research shows that the energy stock price jump is an important part of stock price volatility, and the complex network of energy stock jump risk has obvious time-varying characteristics. However, the infection problem of stock price jump risks needs specific analysis. China's coal industry has an important influence on the development of China's energy industry. According to the clustering analysis results of the network community, the clustering effect of the network community has time-varying characteristics. After October 2017, the clustering effect of the jumping risk of the coal industry and the new energy industry is obvious. The risk contagion within the new energy industry community is a key point for the development of the new energy industry.