Artificial intelligence-based solutions for climate change: a review

Environmental Chemistry Letters, Год журнала: 2023, Номер 21(5), С. 2525 - 2557

Опубликована: Июнь 13, 2023

Abstract Climate change is a major threat already causing system damage to urban and natural systems, inducing global economic losses of over $500 billion. These issues may be partly solved by artificial intelligence because integrates internet resources make prompt suggestions based on accurate climate predictions. Here we review recent research applications in mitigating the adverse effects change, with focus energy efficiency, carbon sequestration storage, weather renewable forecasting, grid management, building design, transportation, precision agriculture, industrial processes, reducing deforestation, resilient cities. We found that enhancing efficiency can significantly contribute impact change. Smart manufacturing reduce consumption, waste, emissions 30–50% and, particular, consumption buildings 30–50%. About 70% gas industry utilizes technologies enhance accuracy reliability forecasts. Combining smart grids optimize power thereby electricity bills 10–20%. Intelligent transportation systems dioxide approximately 60%. Moreover, management design cities through application further promote sustainability.

Язык: Английский

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Exploring intention of undergraduate students to embrace chatbots: from the vantage point of Lesotho

International Journal of Educational Technology in Higher Education, Год журнала: 2024, Номер 21(1)

Опубликована: Март 22, 2024

Abstract The increasing prevalence of Fourth Industrial Revolution (4IR) technologies has led to a surge in the popularity AI application tools, particularly chatbots, various fields, including education. This research explores factors influencing undergraduate students' inclination embrace specifically for educational purposes. Using an expanded diffusion theory innovation framework, study investigates relationship between relative advantages, compatibility, trialability, perceived trust, usefulness, ease use, and behavioral intention. 7-point scale, questionnaire was given 842 students collect data. analysis, conducted using SmartPLS 4.0.9.2 software with covariance-based structural equation model, produced significant findings. confirms hypotheses related trust associated chatbots. Notably, who perceive benefits chatbots show strong intention use them academic perception compatibility positively influences adoption intention, highlighting importance compatibility. Additionally, have opportunity trial are more likely them, emphasizing significance trialability. Interestingly, did not establish direct relationships suggests presence other influential or dynamics These findings offer practical insights contribute theoretical understanding innovation. Future can further explore these unravel complexities chatbot facilitate broader tools settings.

Язык: Английский

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Automatic responsive-generation of 3D urban morphology coupled with local climate zones using generative adversarial network

Building and Environment, Год журнала: 2023, Номер 245, С. 110855 - 110855

Опубликована: Сен. 21, 2023

Язык: Английский

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Analysing Influential Factors in Student Academic Achievement: Prediction Modelling and Insight

International Journal of Emerging Multidisciplinaries Computer Science & Artificial Intelligence, Год журнала: 2023, Номер 2(1)

Опубликована: Ноя. 25, 2023

The fascination with understanding student academic performance has drawn widespread attention from various stakeholders, including parents, policymakers, and businesses. 'Students Performance in Exams' dataset, available on platforms like Kaggle, stands as a treasure trove. It extends beyond test scores, encompassing diverse attributes ethnicity, gender, parental education, preparation, even lunch type. In our tech-driven age, predicting success become compelling pursuit. This study aims to delve deep into this utilizing data mining methods robust classification algorithms Logistic Regression Random Forest Jupyter Notebook environment. Rigorous model training, testing, fine-tuning strive for the utmost predictive accuracy. Data cleaning preprocessing play crucial role establishing reliable dataset accurate predictions. Beyond numbers, project emphasizes visualization's impact, transforming raw comprehensible insights effective communication. Model exhibits an impressive 87.6% accuracy, highlighting its potential performance. Moreover, excels remarkable 100% accuracy forecasting grades, showcasing effectiveness domain.

Язык: Английский

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Intelligent green retrofitting of existing buildings based on case-based reasoning and random forest

Automation in Construction, Год журнала: 2024, Номер 162, С. 105377 - 105377

Опубликована: Март 12, 2024

Язык: Английский

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Multi-objective passive design and climate effects for office buildings integrating phase change material (PCM) in a cold region of China

Journal of Energy Storage, Год журнала: 2024, Номер 82, С. 110502 - 110502

Опубликована: Янв. 21, 2024

Язык: Английский

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Applications of digital twin technology in construction safety risk management: a literature review

Engineering Construction & Architectural Management, Год журнала: 2024, Номер unknown

Опубликована: Март 21, 2024

Purpose With increasing complexity of construction projects and new processes methods are adopted, more safety hazards emerging at sites, requiring the application modern risk management methods. As an technology, digital twin has already made valuable contributions to in many fields. Therefore, exploring technology is great significance. The purpose this study explore current research status potential management. Design/methodology/approach This followed a four-stage literature processing approach as outlined systematic review procedure guidelines. It then combined quantitative analysis tools qualitative organize summarize field management, analyze identify future trends. Findings findings indicate that still its early stages. Based on results analysis, paper summarizes five aspects technology's management: real-time monitoring warning, prediction assessment, accident simulation emergency response, decision support training education. also proposes trends based challenges. Originality/value provides references for extended offers perspective contributes enhancement theoretical framework improvement on-site safety.

Язык: Английский

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SHAPE: A temporal optimization model for residential buildings retrofit to discuss policy objectives

Applied Energy, Год журнала: 2024, Номер 361, С. 122936 - 122936

Опубликована: Март 7, 2024

Язык: Английский

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Surrogate modelling for urban building energy simulation based on the bidirectional long short-term memory model

Journal of Building Performance Simulation, Год журнала: 2024, Номер unknown, С. 1 - 19

Опубликована: Май 28, 2024

The urban microclimate is essential for accurate simulation-based building energy modelling (UBEM). However, a high spatial-resolution can increase the computational resources demands of UBEM. Surrogate one promising approaches fast This study proposes bidirectional Long Short-Term Memory (LSTM)-based approach UBEM surrogate modelling. estimations are aggregated into census tracts using total floor area. A case to estimate annual hourly use and anthropogenic heat from all existing buildings in Los Angeles County found that most models complete simulation within 90 minutes with normalized mean absolute error lower than 10%, LSTM outperforms standard accuracy. demonstrates advantages RNN architecture expected promote long-term high-resolution detailed microclimates.

Язык: Английский

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Exploring Green Building Certification Credit Selection: A Model Based on Explainable Machine Learning

Journal of Building Engineering, Год журнала: 2024, Номер 95, С. 110279 - 110279

Опубликована: Июль 25, 2024

Язык: Английский

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