Published: Jan. 1, 2024
Language: Английский
Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)
Published: March 22, 2025
This paper presents a novel and extensive dataset featuring comprehensive cross-sectional data from 13 households with nearly three years of electrical load, energy cost, on-premises solar production directly linked to irradiation weather parameters (SHEERM dataset). The is essential for understanding optimizing utilization achieve Sustainable Development Goals (SDG) 7, 9, 11 13. It provides about production, conditions, residential needs, market prices. combination these variables facilitates multifaceted analysis, fostering advancements in renewable forecasting, climate-sensitive environments, grid management, policy formulation. details the collection process, including sources methodologies employed. Following established literature, we developed implemented machine learning models that comprehensively validate data. Furthermore, as usage notes, offer additional results by applying machine-learning approaches provided aims help design new systems enhance sustainable strategies demonstrate their potential accelerate transition toward carbon neutrality.
Language: Английский
Citations
0
Buildings, Journal Year: 2025, Volume and Issue: 15(7), P. 1041 - 1041
Published: March 24, 2025
This study presents an integrated approach for adapting building energy systems using Machine Learning (ML), the Internet of Things (IoT), and Building Information Modeling (BIM) in a hotel retrofit Italy. In concise multi-stage process, long-term climatic data on-site technical documentation were analyzed to create detailed BIM model. model enabled simulations Carrier–Pizzetti method supported design hybrid HVAC system—integrating VRF hydronic circuits—further enhanced by custom ML algorithm adaptive, predictive management through IoT fusion. The also incorporated photovoltaic panels solar collectors, reducing reliance on non-renewable sources. Results demonstrate effectiveness smart management, showcasing significant potential scalability similar typologies. Future improvements include integrating temporal evolution model, refining feature selection advanced optimization techniques, expanding validation across multiple case studies. research highlights transformative role ML, IoT, achieving sustainable, smart, efficient systems, offering replicable framework sustainable renovations hospitality sector.
Language: Английский
Citations
0
Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 4900 - 4916
Published: April 22, 2025
Language: Английский
Citations
0
Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1241 - 1241
Published: March 3, 2025
The transition towards energy-efficient and sustainable buildings is a cornerstone of global efforts to combat climate change. Building automation control systems (BACSs), standardized under EN ISO 52120, the Smart Readiness Indicator (SRI) have emerged as pivotal tools for optimizing energy performance, integrating smart technologies, enhancing building adaptability. This review provides comprehensive analysis current research landscape practical applications these frameworks, focusing on their role in advancing efficiency, occupant comfort, environmental sustainability. Key contributions include an exploration challenges SRI evaluation, considering limitations simplified methods, need long-term validation, gaps advanced functions. study emphasizes innovative solutions adapting assessments diverse types, conditions, regulatory frameworks. Furthermore, it presents original insights into leveraging including information modeling (BIM) digital twins (DTs), refine evaluation methods optimize BACS designs. These findings contribute development sustainable, intelligent that align with EU goals. authors conclude by highlighting promising directions future further enhance strategic facility management practices.
Language: Английский
Citations
0
Johnson Matthey Technology Review, Journal Year: 2025, Volume and Issue: 69(3), P. 346 - 357
Published: May 8, 2025
This is Part II of a study utilising mixed-method approach that integrates bibliometric analysis and systematic literature review to investigate the building energy efficiency research environment from 2003 2023. China, USA European nations are prominent contributors research. The emphasis has transitioned individual elements comprehensive, systems-oriented methodologies. We delineate gaps emerging trends, providing framework for researchers, policymakers practitioners progress in domain efficiency.
Language: Английский
Citations
0
arXiv (Cornell University), Journal Year: 2022, Volume and Issue: unknown
Published: Jan. 1, 2022
This survey paper conducts a comprehensive analysis of the evolution and contemporary landscape recommendation systems, which have been extensively incorporated across myriad web applications. It delves into progression personalized methodologies tailored for online products or services, organizing array techniques four main categories: content-based, collaborative filtering, knowledge-based, hybrid approaches, each designed to cater specific contexts. The document provides an in-depth review both historical underpinnings cutting-edge innovations in domain with special focus on implementations leveraging big data analytics. also highlights utilization prominent datasets such as MovieLens, Amazon Reviews, Netflix Prize, Last.fm, Yelp evaluating algorithms. further outlines explores predominant challenges encountered current generation including issues related sparsity, scalability, imperative diversified outputs. underscores these promising directions subsequent research endeavors within discipline. Additionally, examines various real-life applications driven by addressing hurdles involved seamlessly integrating systems everyday life. Ultimately, how advancements propelled technologies, potential significantly enhance real-world experiences.
Language: Английский
Citations
11
Published: June 4, 2024
Language: Английский
Citations
1
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 196914 - 196928
Published: Jan. 1, 2024
Comprehensive Analysis and Methodological Classification: It provides a thorough exploration of the evolution current landscape recommendation systems, categorizing techniques into content-based, collaborative filtering, knowledge-based, hybrid approaches.This classification is designed to address unique requirements various online products services, emphasizing role big data analytics in driving innovations within this domain.• Evaluation Using Prominent Datasets Challenges: The paper emphasizes use key datasets, such as MovieLens, Amazon Reviews, Netflix Prize, Last.fm, Yelp, for evaluating performance algorithms.It also outlines significant challenges faced by modern including sparsity, scalability issues, need diversified recommendations, positioning these avenues future research.• Real-life Applications Impact on Society: By examining integration systems domains marketing, governance, healthcare, underscores their significance enhancing real-world experiences.It highlights how advancements technologies, propelled data, are shaping user experiences influencing societal trends, offering insights potential impact.
Language: Английский
Citations
1
Published: Jan. 1, 2024
Language: Английский
Citations
0