Jun Zhao – författare

Energy Poverty in China: Evaluation and Alleviation offers a thorough, methodological approach to energy poverty, which is a major obstacle in terms of the green or low-carbon transition of energy systems in China. The authors follow the framework of measurement, potential impact, and alleviation paths, supporting the design of effective energy and environmental policies for a globalized nation, especially considering the low-carbon transition of energy structures and energy poverty alleviation in the context of carbon neutrality.

The book begins by providing an overview of energy poverty, explaining the concept, summarizing the current situation globally and in China, and introducing the approach of the authors. The second chapter looks to build a comprehensive index system for the calculation of energy poverty in China. This is followed by three chapters that apply a range of methods to empirically assess the economic, environmental, and social effects of energy poverty. Individual chapters then explore specific alleviation paths, including digital economy, technological innovation, low-carbon energy transition, inclusive finance, and coal-to-gas/electricity policy.

This book is of interest to all those with an interest in energy poverty, energy and environmental policy, energy economics, carbon emission reduction, green growth, energy transition and renewable energy, including researchers, scientists, advanced students, engineers, R&D professionals, and policy makers or other experts at governmental or non-governmental organizations.

Provides a comprehensive evaluation of energy poverty in China Analyzes the economic, environmental, and social impacts of energy poverty Explores alleviation paths across economy, technology, structure, finance, and policy

Global Risks and Energy System Resilience examines the intricate interplay between various global risks and the resilience of energy systems. This comprehensive reference delves into the complex geopolitical, economic, and financial factors that shape energy security today, offering a structured framework for understanding and addressing challenges. It covers crucial topics such as the evolution of energy system resilience, the development of an evaluation framework, and the quantification of the impacts of geopolitical, financial, and economic risks. Researchers, policymakers, and industry professionals in energy strategy and policy evaluation, energy system resilience optimization, and risk avoidance policies will find this book invaluable.This book follows the logical framework of “indicator measurement-impact assessment-scenario prediction.” It first analyzes the current situation and provides an overview of global risks and the energy system resilience, then measures the levels of different types of global risks and energy system resilience, and then analyzes the spatio-temporal evolution law. Second, the theoretical transmission mechanism of different kinds of risks on energy system resilience is analyzed through literature and theoretical review. Next, the actual impacts of different kinds of risks on energy system resilience are assessed by corresponding econometric models. Finally, the influencing factors affecting the resilience of energy systems under a digital background are identified to predict the future development of energy system resilience.Analyzes the intricate interplay between geopolitical, economic, and financial risks and their impact on global energy system resilience, providing a multifaceted understanding of contemporary challengesEvaluates the current state of energy system resilience using bibliometric methods to contextualize research progress and identify gaps in existing literatureQuantifies the effects of specific risks on energy resilience using advanced econometric models, offering actionable insights and empirical findings that inform policy and strategic decision-makingExplores the future trends of energy system resilience through predictive scenario analysis, equipping readers with tools to anticipate and mitigate emerging risks in an increasingly uncertain global environmentIdentifies key driving factors of energy resilience and their spatial differentiation, enabling stakeholders to tailor strategies that enhance energy security and stability in their respective regions

This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies.

This book constitutes the refereed post-conference proceedings of the 13th International Conference on Wireless and Satellite Services, WiSATS  2022, held in March 12-13, 2023. Due to COVID-19 pandemic the conference was held virtually. The 9 full papers were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: Security and Privacy in Healthcare, Transportation, and Satellite Networks,  Advanced Technologies in Wireless Communication Systems, Network Efficiency and Reliability.

This book constitutes the refereed proceedings of the 13th China National Conference on Computational Linguistics, CCL 2014, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2014, held in Wuhan, China, in October 2014. The 27 papers presented were carefully reviewed and selected from 233 submissions. The papers are organized in topical sections on word segmentation; syntactic analysis and parsing the Web; semantics; discourse, coreference and pragmatics; textual entailment; language resources and annotation; sentiment analysis, opinion mining and text classification; large‐scale knowledge acquisition and reasoning; text mining, open IE and machine reading of the Web; machine translation; multilinguality in NLP; underresourced languages processing; NLP applications.

This book contains the best selected papers of two Satellite Events held at the 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, in November 2016 in Bologna, Italy: The Second International Workshop on Educational Knowledge Management, EKM 2016, and the First Workshop: Detection, Representation and Management of Concept Drift in Linked Open Data, Drift-an-LOD 2016. The 6 revised full papers included in this volume were carefully reviewed and selected from the 13 full papers that were accepted for presentation at the conference from the initial 82 submissions.  This volume also contains the 37 accepted contributions for the EKAW 2016 tutorials, demo and poster sessions, and the doctoral consortium. The special focus of this year's EKAW was "evolving knowledge", which concerns all aspects of the management and acquisition of knowledge representations of evolving, contextual, and local models. This includes change management, trend detection, model evolution, streaming data and stream reasoning, event processing, time-and space dependent models, contextual and local knowledge representations with a special emphasis on the evolvability and localization of knowledge and the correct usage of these limits.

This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals withinthe machine learning and data analysis and mining communities.

This book constitutes the refereed proceedings of the Third China Conference on Knowledge Graph and Semantic Computing, CCKS 2018, held in Tianjin, China, in August 2018.The 27 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 101 submissions. The papers cover wide research fields including the knowledge graph, information extraction, knowledge representation and reasoning, linked data.

This book constitutes the refereed proceedings of the 6th International Conference on Science of Cyber Security, SciSec 2024, held in Copenhagen, Denmark, during August 14–16, 2024. The 25 full papers presented here were carefully selected and reviewed from 79 submissions.

This book systematically discusses the workability, mechanical properties, water stability, and material design methods of ultra-high ductility magnesium phosphate cement-based composites (UHDMC) with PVA fibers, PE fibers, or hybrid fibers.