This paper analyzes the data of 112 listed companies in the energy sector from 2011 to 2019, constructing a digital transformation index through text analysis and word frequency analysis. Initially, Chen et al. (2022) and Wu et al. (2023) developed a digital dictionary focusing on five areas: "artificial intelligence technology" (14), "big data

Recently, the project "Smart IDC–Intelligent Energy Saving for Data Centers" co-incubated by Huawei, China Telecom, China Unicom, and China Mobile won TM Forum''s Catalyst Team Award for Sustainability Impact.

By building a new digital "grid-to-chip" power train using high switching speed power

On the grid side, the configuration of distributed or self-contained battery energy storage can replace peaking and reactive generators [17].As shown in Fig. 3, through data collection, transmission, processing, services and other big data technologies, it is possible to obtain data on power grid, natural gas network, information and

To realize the great potential of the intelligent transportation infrastructure, the investment in the transportation infrastructure in the intelligent transportation system should be rationally planned. Firstly, the application status of cutting-edge Data Envelopment Analysis (DEA) model in transportation infrastructure efficiency evaluation is analyzed,

With global climate change looming large, there is an urgent need for China''s energy sector to take steps towards carbon neutrality. This study aims to explore how digital technologies can contribute to the pathway for China''s energy sector to achieve carbon neutrality. By analyzing carbon neutrality policies and digital technology

Energy management strategy (EMS) of hybrid energy storage systems has an essential mission of ensuring safety, enhancing reliability and improving system efficiency. This paper focuses on optimizing sizing of

The emerging leading role of green energy in our society pushes the investigation of new economic and technological solutions. Green energies and smart communities increase efficiency with the use of digital solutions for the benefits of inhabitants and companies. The paper focuses on the development of a methodology for the energy management,

Terahertz and higher frequency band wireless communication technologies represent the most promising spectrums for 6G networks. Compared to 4G/5G networks, 6G networks operate in a higher frequency band with greater propagation and penetration losses, which may bring serious challenges to network planning and green communications. The digital

For instance, energy management systems in the context of electric vehicles (Liu et al., 2020), IoT''s (Golpîra and Bahramara, 2020), intelligent transportation (Yang et al., 2020), photo-voltaic systems (Langer

The transformation from a traditional city to an intelligent one requires a new energy system, and establishing a digital and interactive energy system is a very meaningful issue. The high-capacity wind and solar storage and output are random, which will lead to the dynamic instability of the power system of the power system, which will lead to the

Intelligent energy storage systems utilize information and communication technology with energy storage devices. Energy management systems help in energy demand management and the effective use of energy storage devices. Supercapacitor management systems have been developed for supercapacitor usage during demand

As one of the key enabling technologies, mobile edge computing can considerably reduce system latency and realize ubiquitous computing. The digital twin can constantly learn and update from entities to characterize the working conditions of physical entities. The integration of digital twins with mobile edge computing provides possibility

BARCELONA, Spain, Feb. 25, 2024 /PRNewswire/ -- ZTE Corporation (0763.HK / 000063.SZ), a global leading provider of information and communication technology solutions, has recently announced its

The energy efficiency of buildings can be improved by 30 % without any structural change by optimizing the operation of loads and distributed energy [8]. The battery is recognized as a key element for real-time trade-off of energy supply and demand in buildings [1] and is projected to expand its annual growth rate in coming years [9] .

The energy platform consists of an array of computational algorithms, sensing and control technologies for key industry, energy generators and users to jointly manage and control the complex energy infrastructure. It includes the following key components: (1) the hardware and software to generate, store, control and transmit

3 · Digital technologies – AI in particular – can become an essential enabler for the energy transition. A new report, Harnessing AI to Accelerate the Energy Transition, defines the actions needed to unlock AI''s potential in this domain. The new IPCC reportis unequivocal: more action is urgently needed to avert catastrophic long-term climate

This approach helps optimize energy scheduling, enhance energy utilization efficiency, and realize more intelligent, efficient, and sustainable energy management and utilization strategies. Discussion: This study provides an innovative solution for applying Smart Grid technology to energy conservation in large-scale buildings.

Energy. Digital technologies can help increase energy efficiency and reduce emissions across the energy system. Digitalisation – the application of digital technologies – could have a major effect on emissions as an enabler in accelerating clean energy transitions. Across the energy sector, digitalisation can help cut costs, improve

• Read the full report here and learn more about our Sustainable Development Impact SummitGeneva, Switzerland, 01 September 2021 – The World Economic Forum has published a new study on how artificial intelligence (AI) can be used to accelerate a more equitable energy transition and build trust for the technology

Building energy efficiency, as a traditional field which has been existing for decades performs a prosperous needs with diversity of corresponding methods. In the flow of artificial intelligence (AI) background, where does the building energy efficiency advance and how does it emphasize? This question seems to become more significant

Smart grids utilize various power sources, automate the process of energy distribution and fault identification, facilitate better power usage, etc. Artificial Intelligence plays an important role in the management of power grids, making it even smarter. With the help of Artificial Intelligence and Internet of Things, smart grids can optimize

This paper proposes an intelligent energy-efficient hybrid disk storage system. The proposed system recognizes the frequently used data from traces of applications. Replica management along with data layout is used to allocate frequently used files in hot disks and the other files in cold disks.

Among these digitalization techniques, digital twins emerge as a potential technique for enhancing performance, lowering maintenance and operation costs, and ensuring safer operation for any associated system. The energy storage field is crucial in designing and operating any energy-demanding system, both grid-connected and mobile

Table 1 presents the summary statistics of main variables used in this study, which analyzes a dataset consisting of 865 samples. As reported in Table 1, the average financing efficiency in the sample enterprises is 0.302, indicating that the financing performance still has great potential for substantial improvement.

Shipping carries most of the cargo in international trade, with the fuel cost of ships is the major expense. Much attention has been paid to saving fuel in ship operation. First, to save fuel, an intelligent energy efficiency management system is developed to collect data related to ship energy efficiency. The main engine is the primary fuel

AI technologies improves efficiency of energy management, usage, and transparency. •. AI helps utilities provide customers with affordable energy electricity from complex sources in a secure manner. •. Sustainability of industry 4.0 is described from policy recommendations and opportunities.

In 2021, Sanguesa et al. [1] conducted a study that shows the current challenges and

The application of the digital twin in battery energy storage systems is

Digital tools for energy efficiency policy ecosystem. Open. At the policy design stage, digital tools can provide access to more granular and real-time data, and advanced analytics and modelling capabilities can help predict the impact and cost-effectiveness of programmes. During programme implementation, digitalisation can be

Climate change has become a major problem for humanity in the last two decades. One of the reasons that caused it, is our daily energy waste. People consume electricity in order to use home/work appliances and devices and also reach certain levels of comfort while working or being at home. However, even though the environmental impact

Digital compute-in memory (CIM) processors have higher accuracy, whereas memristive CIM processors have higher energy efficiency and nonvolatile storage density. An artificial intelligence CIM processor developed by Wen et al . combines the advantages of digital and memristive approaches.

Smart grid technology—an integral part of energy''s digital transformation—promises to modernize the traditional electrical system with an infusion of digital intelligence that helps energy providers transition to clean energy and reduce carbon emissions. The U.S. alone has installed nearly 10,000 electricity generation units,

energy and storage technologies. However, despite its promise, AI''s use in the energy sector is limited, with it primarily deployed in pilot projects for predictive asset maintenance. While it is useful there, a much greater opportunity exists for AI to help accelerate

The second consisted of chiller systems with an energy storage system (thermal energy storage, or TES). The third consisted of chiller systems with renewable energy sources (RES). Compared with the chiller system in original operating condition, chiller systems with MPC achieved an average energy saving of 28.8%, while those with

Existing research generally recognizes that industrial structure and technical progress are the basic factors affecting energy efficiency [10] om the perspective of industrial structure, Wang and Shao [11] proved that the development of digital economy contributes to the optimization of industrial structure and the improvement of energy

After presenting the theoretical foundations of renewable energy, energy storage, and AI

build intelligent city infrastructures and services intersecting energy efficiency, renewable energy, e-mobility, and ICT five transition tacks: renewable and energy-positive districts, flexible energy management and storage, intelligent mobility, digital transformation

Comprehensively improve the intelligent interactive capabilities of the

Currently, electric vehicles (EVs) offer a source of mobility that emphasises the use of energy storage devices to reduce CO2 emissions. The growing development of advanced data analytics and the Internet of Things has driven the implementation of the Digital Twin (DT), all to improve effi-ciency in the build, design and operation of the system.

Energy will be greener and more intelligent in 2030. Power plants will be generating electricity from renewable energy sources in lakes and near-shore marine areas. An "energy Internet" will emerge, with digital technologies connecting generation-grid-load-storage, including virtual power plants and an energy cloud.