Article
Computer Science, Information Systems
Arshia Rehman, Saeeda Naz, Imran Razzak
Summary: Clinical decisions are benefiting from evidence-based big data analytics, promising early detection, prediction, prevention and quality of life improvement. Various tools and techniques are used to process healthcare data, while sub-disciplines in healthcare are exploring the potential of big data. Challenges and notable applications in healthcare big data analytics are discussed, indicating a positive impact on healthcare.
MULTIMEDIA SYSTEMS
(2022)
Article
Computer Science, Information Systems
Stuart J. Barnes, Yue Guo, Jason Chan
Summary: The nine papers in this special issue investigate the role of information systems and big data analytics in enabling a sustainable future. They cover various aspects such as health, online behavior and consumption, safety and the environment, and methods to improve understanding of sustainability issues.
INFORMATION & MANAGEMENT
(2022)
Article
Construction & Building Technology
Qian Xu, Bon-Gang Hwang, Yujie Lu
Summary: The research findings suggest that Household Energy-Saving Option (HESO) effectively promotes household energy-saving behaviors and can play a crucial role in reducing household energy consumption in communities.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Business
Maria Teresa Cuomo, Debora Tortora, Ivan Colosimo, Lorenzo Ricciardi Celsi, Cinzia Genovino, Giuseppe Festa, Michele La Rocca
Summary: Based on the national balance sheets of advanced economies, Italian private households have a high net wealth rate and low debt in Europe, despite a recent decline. The COVID-19 outbreak has led to increased household savings globally, especially in advanced economies like Italy. This study highlights the importance of using advanced analytics tools and big data analytics to analyze household saving behavior and support data-driven decision-making in the financial sector.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Construction & Building Technology
Qian Xu, Yujie Lu, Bon-Gang Hwang, Harn Wei Kua
Summary: The study proposes a promising strategy, Household Energy Saving Option (HESO), to lighten the financial burden of energy policy providers and promote effective energy conservation in households. The results demonstrate that HESO has a positive effect on encouraging home electricity conservation, with energy reduction ranging from 8.18% to 12.56%. Key determinants of HESO's success, such as management of cash-flow liquidity and design of goal difficulty, have been discussed, highlighting the cost-efficiency of residential energy reduction strategies.
ENERGY AND BUILDINGS
(2021)
Article
Engineering, Industrial
Kuo-Hao Chang, Yi-Jyun Sun, Chi-An Lai, Li-Der Chen, Chih-Hung Wang, Chung-Jung Chen, Chih-Ming Lin
Summary: The research demonstrates how to apply big data analytics in the semiconductor industry to improve production efficiency, reduce energy consumption, and lower manufacturing costs.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Psychology, Multidisciplinary
Muhammad Usman Tariq, Muhammad Babar, Marc Poulin, Akmal Saeed Khattak, Mohammad Dahman Alshehri, Sarah Kaleem
Summary: The article discusses the evolution of intelligent big data analysis in the age of big data and artificial intelligence, focusing on the challenges of analyzing human behavior through social media data. It proposes an architecture to efficiently process massive social media datasets and demonstrates its effectiveness using data from Dailymotion.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Business
Srinath Rengarajan, Gopalakrishnan Narayanamurthy, Roger Moser, Vijay Pereira
Summary: This paper explores how senior executives can use big and small data analytics to make strategic decisions on (re)configuring global value chains (GVCs) in a post-COVID-19 world, aiming to enhance GVC resilience and efficiency.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Jacopo Gaspari, Ernesto Antonini, Lia Marchi, Vincenzo Vodola
Summary: Global regulations and incentives have been implemented to reduce the built environment's energy needs, yet scholars believe that behavioral change in households could accelerate progress. People's awareness and willingness to change, along with feedback technologies, are crucial factors affecting the process.
Article
Engineering, Civil
Nan Xu, Xiaohan Li, Fenglai Yue, Yifan Jia, Qiao Liu, Di Zhao
Summary: Eco-driving can reduce vehicle energy consumption and carbon dioxide emissions, but its effectiveness diminishes over time, requiring continuous feedback for drivers. This study proposes a quantitative evaluation method for eco-driving that considers traffic conditions, ambient temperature, and passenger load on battery electric buses. By analyzing actual operation data of 19 buses, control groups are established based on traffic conditions and temperature, with reference energy consumption obtained. A passenger load conversion factor is also introduced to measure the impact of passenger load on energy consumption. By incorporating these factors, a fair eco-driving evaluation method is constructed, ensuring efficient drivers are not penalized for poor driving conditions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Review
Biochemistry & Molecular Biology
Madeline Alizadeh, Natalia Sampaio Moura, Alyssa Schledwitz, Seema A. Patil, Jacques Ravel, Jean-Pierre Raufman
Summary: Studying individual data types in isolation is limited in providing comprehensive answers, but multi-omics approaches can generate and integrate multiple data types to offer a holistic understanding of biological and disease processes. Gastroenterology and hepatobiliary research benefit from these approaches due to the interconnectedness of the GI tract, brain, immune and endocrine systems, and GI microbiome. The use of big data in multi-omic, multi-site studies allows for better investigations into the connections between organ systems and more accurate evaluations of interventions.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Engineering, Environmental
Bo Wang, Nana Deng, Xiangxiang Liu, Qingyu Sun, Zhaohua Wang
Summary: Energy consumption has led to serious environmental issues, but energy efficiency labeling policies have not effectively promoted consumers' green consumption, as prices can negatively affect the relationship between energy efficiency grade and sales.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Review
Construction & Building Technology
Ya-Hui Chen, Yun-Ze Li, Haihao Jiang, Zhaobin Huang
Summary: This paper reviews the methods of obtaining household energy consumption (HEC) data in different time dimensions, HEC patterns, and influencing factors at different times, and organically combines all three for discussion. The findings show that understanding the demand patterns and influencing factors of household energy consumption is crucial for promoting energy conservation and efficiency.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Chemistry, Multidisciplinary
Lauren Takahashi, Thanh Nhat Nguyen, Sunao Nakanowatari, Aya Fujiwara, Toshiaki Taniike, Keisuke Takahashi
Summary: Research on designing high-performance catalysts for the oxidative coupling of methane is often hindered by inconsistent data, but high throughput experiments provide a systematic way to produce catalyst-related data. By applying graph theory to visualize trends in data transformation, new catalysts can be designed to achieve high C-2 yields, resulting in the successful design of numerous efficient catalysts.
Review
Computer Science, Interdisciplinary Applications
Fangyu Li, Yuanjun Laili, Xuqiang Chen, Yihuai Lou, Chen Wang, Hongyan Yang, Xuejin Gao, Honggui Han
Summary: The construction industry is undergoing an intelligent revolution enabled by technologies like IoT, cloud computing, and robotics. Utilizing diverse big data from multiple sources can enhance efficiency, reduce waste and expenses, improve planning and decision-making processes, lower errors, and enhance safety at construction sites. This article provides a comprehensive review of the advantages and current state of big data in the construction industry, addressing unresolved difficulties and offering thoughts on its potential future.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2023)
Article
Green & Sustainable Science & Technology
M. Genovese, F. Piraino, P. Fragiacomo
Summary: This research proposes the concept of a hydrogen valley in southern Italy, where hydrogen is produced centrally and delivered via fuel cell hybrid trains to refueling stations, providing transportation services. The analysis from both technical and economic perspectives shows that the cost of hydrogen and energy efficiency reached competitive levels, and hydrogen rail transport offers significant benefits in terms of emissions reduction and economic gains compared to conventional diesel trains and fully electric trains.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Miaomiao Liu, Payam Nejat, Pinlu Cao, Carlos Jimenez-Bescos, John Kaiser Calautit
Summary: This article provides a critical review of the performance of windcatchers, pointing out the current research gaps and issues, and proposing directions for further investigation and market prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
E. K. Grubbs, S. M. Gruss, V. Z. Schull, M. J. Gosney, M. V. Mickelbart, S. Brouder, M. W. Gitau, P. Bermel, M. R. Tuinstra, R. Agrawal
Summary: As the global population grows, the demand for food, energy, and water will increase significantly. However, limited land availability and competition for solar resources pose challenges to resource generation technologies. In the United States, both agriculture and solar energy production have adopted densification schemes to improve yields and energy output per unit of land. This research proposes an Agrivoltaic food and energy coproduction architecture that optimizes power generation while maintaining crop productivity by implementing ideal anti-tracking during critical growth periods. This technology offers a viable pathway for widespread solar implementation throughout the contiguous United States.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kexin Pang, Jian Zhou, Stamatis Tsianikas, David W. Coit, Yizhong Ma
Summary: This study proposes a new framework for long-term microgrid expansion planning, using deep reinforcement learning method to consider various uncertainties and constraints. The framework aims to enhance the effectiveness of microgrid expansion planning from the perspectives of economy, resilience, and greenhouse gas emission reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jun Zhao, Kangyin Dong, Xiucheng Dong
Summary: The continuous growth of global electricity penetration has provided modern energy for alleviating energy poverty, but its impact on carbon neutrality has been overlooked. The research reveals that clean electricity from traditional fossil energy and renewable energy has a positive influence on the greenhouse effect. Eradicating energy poverty can effectively alleviate the greenhouse effect, especially in non-Belt and Road Initiative (B&RI) nations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Meysam Majidi Nezhad, Mehdi Neshat, Georgios Sylaios, Davide Astiaso Garcia
Summary: Digital twins promise innovation for the marine renewable energy sector by using modern technological advances and the existing maritime knowledge frameworks. This research presents critical aspects of digital twin implementation challenges in marine energy digitalization approaches that use and combine data systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
J. G. B. Churchill, V. B. Borugadda, A. K. Dalai
Summary: The increasing global energy demand and the need to reduce fossil fuel reliance have created a demand for renewable and sustainable fuel sources. This review explores the potential of tall oil, a by-product of the pulping industry, as a feedstock for biofuels. The review provides an overview of tall oil production, purification, and treatment, and investigates recent trends and barriers towards tall oil-derived biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
David C. Broadstock, Xiangnan Wang
Summary: This study provides a general review of research on district cooling, identifying key topics and themes and highlighting potential research priorities for future studies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
L. Scharnhorst, D. Sloot, N. Lehmann, A. Ardone, W. Fichtner
Summary: This study investigates and analyzes the barriers to demand response in industrial and commercial sectors, highlighting their significance. Concerns about diminished product quality, disruptions to production processes, human resource management, and revenue uncertainty are identified as the most frequently cited barriers. Overcoming these barriers requires bridging knowledge gaps, allocating sufficient resources, and adapting external incentives and policies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Tong Feng, Yuechi Sun, Yating Shi, Jie Ma, Chunmei Feng, Zhenni Chen
Summary: Air pollution is a significant global challenge, and policymakers have implemented policies to reduce it. Evaluating the effectiveness of these policies is critical, and our study reveals trends and gaps in air pollution policy research. We found that research has shifted from focusing solely on air pollutants to including methodologies, policies, and health implications. China has emerged as a major contributor in this field of research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)