Qian Yang¹, Shenglei Du^1,2, Boyang Chen¹, Yalu Sun¹, Ding Li¹, Zhiheng Zhang^3,*

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2025.073720 - 12 July 2026

Abstract In recent years, as the core infrastructure of the digital economy, data centers have witnessed increasingly prominent issues of energy consumption and carbon emissions. To achieve the goals of “carbon peak” and “carbon neutrality”, data centers have gradually introduced new energy power such as wind and photovoltaic power. However, the randomness and volatility of their output pose challenges to efficient absorption. Based on the spatiotemporal complementary characteristics of new energy output in multiple data centers and the spatiotemporal migration capability of computing tasks, this paper proposes a new energy-aware adaptive collaborative scheduling strategy for computation… More >

Xing Wen¹, Huan Chen¹, Ning Wang^1,*, Yu Song¹, Zhuqiao Qiao², Bin Zhang¹

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2025.073567 - 12 July 2026

Abstract High voltage direct current (HVDC) systems play a pivotal role in long-distance, high-capacity, and cross-regional power transmission. However, their complex structure, wide-ranging impact of faults, and stringent safety requirements pose significant challenges to operational stability. Conventional model-based and data-driven methods for tasks such as text classification, fault diagnosis, and operation and maintenance support suffer from limited scalability and interpretability. Recent advances in large language model (LLM) provide new opportunities to address these issues. This paper provides a systematic review of LLM applications in HVDC systems. Firstly, it introduces the core architecture and training mechanisms of… More >

Nantian Huang^*, Jingyuan Zhang, Shicheng Ren, Hao Zhang, Bingling Li, Yaoyao Wang

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2025.072993 - 12 July 2026

Abstract User electricity consumption behavior analysis and multi-load forecasting in integrated energy systems are crucial for system operation and scheduling. Traditional user electricity consumption behavior analysis fails to adequately incorporate meteorological factors, limiting the accuracy of characterizing user electricity consumption patterns. Traditional multi-load forecasting models do not consider the differentiated coupling relationships with meteorological factors across different seasons, which restricts the improvement of forecasting accuracy. To address the above issues, a method integrating data cleaning and meteorological correlation for electricity consumption behavior and multi-dimensional forecasting analysis is proposed. First, the Akima interpolation method is used to… More >

Xiaotong Li^1,2, Mingquan Qiu², Wenjun Zhang², Pengfei Li², Chong Liu², Chong Yang², Han Xiao², Feng Hu², Binghui Liu^1,*, He Wang¹

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.071598 - 12 July 2026

Abstract To address the operational uncertainties and power quality challenges brought by high-penetration distributed energy integration into distribution networks, this paper proposes a precision renovation optimization method for active distribution networks (ADNs) that considers probabilistic power flow. First, based on probabilistic power flow analysis, a comprehensive power quality evaluation index system is constructed to accurately quantify the impact of uncertainties caused by photovoltaic fluctuations on distribution network power quality under high-penetration distributed photovoltaic (PV) scenarios. On this basis, a precision renovation optimization model is established with the goals of minimizing renovation cost, maximizing renewable energy hosting… More >

Ruosong Hou^1,2,*, Jiakun An¹, Zihao Zhao¹, Wei Guo¹, Hua Shao²

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2025.069068 - 12 July 2026

Abstract This article evaluates the connectivity with energy sharing in low-voltage distribution areas. Indicators like wind-solar complementing effectiveness, source-load energy sharing possibility, or transformer capacity interconnection measurements are part of the assessment index framework for interconnection capacity that is established after an analysis of the features of linked scenarios. Radial and inflexible, conventional distribution systems can’t handle bidirectional power flow, fluctuating demand, or grid disruptions. Using real-world examples, we can see that the suggested strategy improves power supply efficiency across zones and increases the usage of distributed energy resources, proving the method’s validity. With the help… More >

BIOCELL, Vol.50, Suppl.1, pp. 1-56, 2026

Abstract This article has no abstract. More >

Dakshnamoorthy Manivannan^*

Journal of Cyber Security, Vol.8, pp. 397-468, 2026, DOI:10.32604/jcs.2026.082741 - 06 July 2026

Abstract Ransomware has emerged as one of the most disruptive and financially damaging forms of cybercrime, affecting individuals, enterprises, and critical infrastructures worldwide. Over the past decade, ransomware attacks have evolved from simple file-encryption malware to sophisticated, multi-stage campaigns involving data exfiltration, double extortion, and ransomware-as-a-service (RaaS) ecosystems. In response, a large body of research has proposed diverse techniques for detecting, preventing, mitigating, and recovering from ransomware attacks. This paper presents a comprehensive survey of ransomware research spanning behavioral and runtime detection, machine learning and deep learning-based approaches, network and SDN-based detection, platform-specific defenses for mobile… More >

Lulu Mtimkulu, Paul J. P. Fouché^*

Journal of Psychology in Africa, Vol.36, No.3, pp. 361-370, 2026, DOI:10.32604/jpa.2026.081834 - 30 June 2026

Abstract This psychobiography aimed to uncover the characteristics of optimal personality functioning (OPF) across the lifespan of Chabani Manganyi (1940–2024), the first Black South African clinical psychologist. The methodology used in this study encompassed an existential Franklian scholarly psychobiography. Sources of data on Manganyi included only publicly available primary and secondary data. Primary sources included Manganyi’s own writings, such as his autobiography, as well as his academic publications, including the biographies he wrote on creative individuals such as Gordimer, Sekoto and Mphahlele. Secondary sources included scholarly publications by academics and colleagues who knew him, as well… More >

Jinliang Guan¹, Yuanyuan Xie¹, Mengying Huang¹, Liyang Sixu¹, Mengran Gao¹, Wangyan Ma^2,*

Journal of Psychology in Africa, Vol.36, No.3, pp. 425-432, 2026, DOI:10.32604/jpa.2026.079806 - 30 June 2026

Abstract This study explored the mediating role of maladaptive cognitive-emotional regulation strategies in the association between life events and short-video addiction, as well as the moderating role of social support in that relationship. Participants were 501 college students from universities in Anhui Province, China (females = 39.72%, undergraduates = 100%, mean age = 18.89, SD = 0.98). They completed the Maladaptive Cognitive-Emotional Regulation Strategies Scale, College Students’ Life Events Scale, Social Support Rating Scale, and Short-Video Addiction Scale. Results following Structure Equation Modelling (SEM) analyses indicated that stressful life events were associated with short-video addiction. Maladaptive More >

Dan Wang^*, Zahari Ishak

Journal of Psychology in Africa, Vol.36, No.3, pp. 381-396, 2026, DOI:10.32604/jpa.2026.079557 - 30 June 2026

Abstract Academic stress remains a major concern for college students in China in the post-COVID-19 context. This study examined the effectiveness of an eight-week Social Emotional Learning (SEL) intervention in reducing academic stress and enhancing selected social-emotional competencies among first-year students in a Chinese higher education institution. A sequential explanatory mixed-methods design was employed. Participants were 196 first-year students assigned to an experimental group (n = 98) and a control group (n = 98) in a quasi-experimental study. Quantitative data were collected through validated pre- and post-intervention measures of academic stress, self-esteem, emotional intelligence, and problem-solving… More >