Integrated Time Series Analysis, Clustering, and Forecasting for Energy Efficiency Optimization and Tariff Management by Anderson Jhones Passos Nascimento, Menaouar Berrehil El Kattel, Jose Antonio Fernandes de Macedo, Fernando Luiz Marcelo Antunes

“…The research employs time series techniques and clustering algorithms to identify atypical consumption profiles and regular patterns based on average monthly consumption and contracted power demand. …”
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Balancing comfort and conservation: dynamic programming algorithm for appliance scheduling in residential demand-side management by Maria Ashraf, Maryam Arshad, Sajjad Haider Zaidi, Kiran Shaukat

“…With the exponential upward thrust in residential energy consumption, effective Demand-Side Management (DSM) has come to be vital to ensure grid balance and user satisfaction. …”
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WELFARE MARKETING RESEARCH CERTAIN CATEGORIES OF THE RUSSIAN POPULATION by L. Nedykhalov, N. Kharchenko

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Assessment of mobility trends and transportation-related emissions in Canadian cities during the post-COVID-19 pandemic period by Saba Naderi, Xuelin Tian, Chunjiang An

“…Key observations include a gradual return to pre-pandemic emission levels. For instance, the average NO2 levels in Vancouver showed variations from 14.2 ppb in 2020 to 15.4 ppb in 2022, while average CO levels fluctuated between 0.18 ppm in 2020 and 0.22 ppm in 2022. …”
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The inverted U-shaped impact of the digital economy on indirect household carbon emissions — an empirical study based on CFPS by Ying Chen, Ying Chen, Donglin Chen, Donglin Chen, Chenfeng Gao, Chenfeng Gao, Xiaochao Wei, Xiaochao Wei

“…Policymakers should adopt region-specific strategies, invest in digital infrastructure, and promote sustainable consumption practices to leverage the digital economy for carbon reduction. …”
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Dynamic appliance scheduling and energy management in smart homes using adaptive reinforcement learning techniques by Poonam Saroha, Gopal Singh, Umesh Kumar Lilhore, Sarita Simaiya, Monish Khan, Roobaea Alroobaea, Majed Alsafyani, Hamed Alsufyani

“…Abstract Smart home energy management is complicated because of varying user preferences, expenses, and consumption. These dynamics are difficult for traditional systems to handle, but new developments in reinforcement learning and optimization may be able to help. …”
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Water Use Attribution Analysis and Prediction Based on the VIKOR Method and Grey Neural Network Model: A Case Study of Zhangye City by Lige Jia, Bo Zhang

“…The multi-year average relative error of the water consumption predictions for Zhangye City from 2003 to 2022 using the grey neural network model was 4.28%. …”
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Assessing Romania's progress towards Sustainable Development Goals 8, 9, 10 and 12: a comparative analysis in the EU context by Irina Puiu

“…However, significant challenges remain in the areas of industrial innovation, reducing inequalities, and achieving more sustainable consumption and production patterns. The findings reveal that while Romania is moving towards its 2030 targets, gaps persist, particularly in aligning with EU benchmarks on social inclusion and environmental responsibility. …”
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Dietary greenhouse gas emissions and resource use among Bavarian adults: associations with sociodemographics and food choices by Sebastian Gimpfl, Sofia Schwarz, Florian Rohm, Nadine Ohlhaut, Christine Röger, Melanie Senger, Martin Kussmann, Jakob Linseisen, Jakob Linseisen, Kurt Gedrich

“…BackgroundThis study assessed dietary greenhouse gas emission (GHGE), land use (LU), and water footprint (WFP) among Bavarian residents while exploring sociodemographic characteristics, food consumption patterns, sustainability beliefs, and behaviors across GHGE quintiles.Methods and designThe 3rd Bavarian Food Consumption Survey (BVS III) was conducted from October 2021 to January 2023, involving participants aged 18–75 years. …”
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Improving Location-Based Thermal Emission Side-Channel Analysis Using Iterative Transfer Learning by Kai Zhang, Tun-Chieh Lou, Chung-Che Wang, Jyh-Shing Roger Jang, Henian Li, Lang Lin, Norman Chang

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Body count- distribution, determinants and geographical mapping of lifetime sexual partners among Gen-X, Millennial and Gen-Z: hierarchical regression modelling study of nationally... by Pritam Halder, Girish Jeer, Shivani Rathor, Manish Chandra Prabhakar, Ankita Chattopadhyay, Sushanta Sarkar, Anamika Das

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Embedded energy flow and its industrial chain pathways in interprovincial trade within the Yellow River Basin by WU Leying, ZHAO Yiyi, MIAO Changhong, ZHONG Zhangqi, DU Jin

“…[Conclusion] The Yellow River Basin can reduce total energy consumption by leveraging industrial chains from low energy intensity areas to high energy intensity areas. …”
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Prediction of Urban Construction Land Carbon Effects (UCLCE) Using BP Neural Network Model: A Case Study of Changxing, Zhejiang Province, China by Qinghua Liao, Xiaoping Zhang, Zixuan Cui, Xunxi Yin

“…To achieve this goal, this study takes the central urban area of Changxing, Zhejiang Province, as the study area and establishes a BP neural network model for predicting UCLCE based on multi-source data such as building energy consumption and built environment elements (BEF). The results demonstrate that the BP neural network model effectively predicts the different types of UCLCE, with an average error rate of 30.10%. (1) The total effect and intensity effect exhibit different trends in the study area, and a carbon effect table for different types of UCL is established. (2) The spatial distribution characteristics of UCLCE reveal a distinct reverse-L pattern (“┙”-shaped layout) with positive spatial correlation (Moran’s I = 0.11, <i>p</i> < 0.001). (3) The model’s core practical value lies in enabling forward-looking assessment of carbon effects in urban planning schemes and precise quantification of emissions reduction benefits. …”
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RBEDH: A Decentralized Role-Based Event Driven Hybrid Framework for Smart Contracts by Eashwar Sivakumar, Kiran Jot Singh, Paras Chawla, Geetha Ganesan

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A Novel Grey Prediction Model: A Hybrid Approach Based on Extension of the Fractional Order Discrete Grey Power Model with the Polynomial-Driven and PSO-GWO Algorithm by Baohua Yang, Xiangyu Zeng, Jinshuai Zhao

“…As a result, it provides a new tool for predicting complex data change patterns.…”
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Supply-disposition storage of fresh fruits and vegetables and food loss in the Canadian supply chain by Rumpa Chowdhury, Sharmin Jahan Mim, Anica Tasnim, Kelvin Tsun Wai Ng, Amy Richter

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Combining Endpoint Detection and One-Dimensional CNN-Based Classifier for Non-Technical Loss Screening in Smart Grids by Ping-Tzan Huang, Feng-Chang Gu, Chia-Hung Lin, Chao-Lin Kuo, Neng-Sheng Pai, Yung-Chang Luo, Wen-Cheng Pu

“…These standard electricity-consumption models (SECM), along with their associated consumption patterns, can be further used for applications in load forecasting, technical loss (TL) analysis, and non-technical loss (NTL) detection. …”
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Regional Gas Supply System Considered from the Standpoint of System Analysis and Regularities of its Functioning by D. R. Mоroz, N. V. Hruntovich

“…The balance structure of gas consumption in the region for the ten-year period and the patterns of daily gas consumption in the region depending on the average daily outdoor temperature for the two-year period have been studied. …”
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Social Media and Men’s Health: Separating Science from Speculation in Andrology by Michael George, Vaibhav Modgil, Ian Pearce, Theodora Stasinou

“…Results Social media consumption is on the rise, with users consuming over two hours daily on average worldwide. …”
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Synergistic Non-Intrusive Load Monitoring: Dual-Model Training and Inference for Improved Load Disaggregation Prediction by Mazen Bouchur, Andreas Reinhardt

“…During disaggregation, our scheme selects the model that is closest to the appliance’s power consumption pattern, thereby leveraging the most fitting model for each specific instance. …”
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