Article
Energy & Fuels
Maksymilian Kochanski, Katarzyna Korczak, Tadeusz Skoczkowski
Summary: This study provides insights on the market-driven rollout of Smart Meters in Poland, highlighting key enablers such as DSOs' expectations of benefits and major barriers like delayed and incomplete public policy instruments. The findings can inform the development of similar market-driven Smart Meter deployments worldwide.
Article
Environmental Studies
Jieyi Kang, David M. Reiner
Summary: The fine-grained electricity consumption data created by advanced metering technologies offers an opportunity to understand residential demand from new angles. This study explores residential customers' demand patterns and response using unsupervised machine learning tools, providing a better understanding of household electricity demand profiles in China. The research investigates behavioural response in various contexts and offers insights into Chinese residential consumption and households' behaviour patterns.
ENERGY RESEARCH & SOCIAL SCIENCE
(2022)
Article
Economics
Jieyi Kang, David M. Reiner
Summary: This study explores the relationship between weather variables and residential electricity consumption using smart metering data. The findings indicate that temperature has a consistent effect on electricity demand throughout the day, while rain and sunshine duration have the potential to impact individual behavior and daily routines. The sensitivity to weather factors varies depending on the day of the week. The methodology employed in this study provides valuable insights for understanding behavioral responses in household energy consumption.
Article
Physics, Multidisciplinary
Piotr Kiedrowski
Summary: By equipping smart meter devices with multiple communication modules, the elimination of the Transformer Station Data Concentrator module and the optimization of network architecture are achieved. The introduction of criteria for node selection and the use of graph theory allow for effective management of acquisition and intermediary nodes, enhancing the reliability and performance of the system.
Article
Multidisciplinary Sciences
Netzah Calamaro, Moshe Donko, Doron Shmilovitz
Summary: This paper resolves a discrepancy between two smart-metering methods by providing mathematical formulations and experimental results. It also introduces an algebraic method suitable for energy metering and tariff computation.
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
Energy & Fuels
Daniele Serra, Daniele Mardero, Luca Di Stefano, Samuele Grillo
Summary: This paper discusses the accessibility of electrical energy consumption data for low voltage end users in smart grids, drawing inspiration from Italy's regulatory and technological approach. It proposes a solution and a classification framework for post-metering value-added services, emphasizing the importance of certification, regulatory support for technological innovation, and customer-oriented solutions for a flourishing market.
Article
Energy & Fuels
Jovana Forcan, Miodrag Forcan
Summary: This paper compares the impact of NEM, NEB, and game theory-based LEM energy policies on the behavior of prosumers. The results confirm that transitioning from NEM to NEB can provide better payoffs for prosumers with dispatchable distributed energy resources.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Business
Chaoqun Zhang, Donglan Zha, Pansong Jiang, Fu Wang, Guanglei Yang, Muhammad Salman, Qing Wu
Summary: Electricity savings will be crucial for future carbon reductions. However, research on information interventions in China, especially in terms of residential electricity consumption, is still limited. This study conducted a field experiment in Nanjing and found that customized information feedback was the most effective strategy, and offline information delivery had a stronger impact in reducing electricity consumption.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
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
Economics
Boqiang Lin, Tianxu Lan
Summary: Based on the theory of planned behavior and the policy acceptance model, this study incorporated policy perception into a theoretical model of residential electricity-saving behavior. The factors influencing residential electricity-saving feedback after the implementation of the increasing-block electricity pricing policy were investigated through a questionnaire survey conducted on 3108 residents in four typical first-tier cities in China. The results revealed that perceived economic usefulness, perceived environmental usefulness, and perceived ease of use of the policy significantly and positively influenced residents' cutting and investing in electricity-saving feedback. Gender and city heterogeneity were also examined. Additionally, a comparison of questionnaire data from 2016 and 2022 showed an increase in residents' concerns about electricity information, attitudes towards electricity saving, and policy cognition in recent years. Policy recommendations were proposed to enhance residents' policy perception and promote energy-saving feedback under the increasing-block electricity pricing policy.
Article
Energy & Fuels
Yao Wang, Boqiang Lin, Minyang Li
Summary: This study found that energy-saving experience plays a positive role in enhancing positive values and promoting willingness to save electricity, while unpleasant energy-saving experiences have a limited inhibitory effect; information feedback has been proven to be the most promising method to promote a virtuous circle between behavior and willingness, its effect is greater than economic value and nearly 10 times that of negative feelings.
Article
Chemistry, Multidisciplinary
Suqin Xiong, Jiahai Zhang, Baoliang Zhang, Guodong Sun, Zhen Chen, Jia Qi, Yongquan Sun
Summary: The study identified the evolution behaviors of metering error of smart electricity meters under different temperature and current conditions, and developed an integrated model to analyze the joint effects of multiple stresses.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Quan-sheng Shi, Yi-xu Hao, Hong-bo Ren, Xiao-hui Huang
Summary: This study introduces blockchain technology, combining the reliability coefficient, smart contract, and credit value mechanism to establish a blockchain-based distributed power transaction model, proving its advantages in efficiency and security.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Automation & Control Systems
Wenqing Zhou, Bin Li, Hao Xiao, Hui Xiao, Wen Wang, Yingjun Zheng, Sheng Su
Summary: This study proposes a new method for detecting electricity theft users with zero electricity usage. By analyzing the correlation between water and electricity usage and utilizing multisource information, the proposed method can accurately identify these users more effectively.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Business
Jessica Berneiser, Charlotte Senkpiel, Annette Steingrube, Sebastian Goelz
Summary: This study analyzed the influences on consumer adoption of electric vehicles, finding that subjective norms, collective efficacy, technological risk attitude, and perceived information were the strongest predictors for purchase intention. Participants' attitudes towards these factors affected their evaluation of vehicle attribute importance in the choice experiment, but overall favored electric vehicles.
JOURNAL OF CONSUMER BEHAVIOUR
(2021)
Article
Environmental Studies
Sebastian Goelz, Ulf J. J. Hahnel
ENERGY RESEARCH & SOCIAL SCIENCE
(2016)