Results 201 to 210 of about 72,345 (262)

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines

Energy Science &Engineering, EarlyView.
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley   +1 more source

Explainable artificial intelligence-driven ensemble learning for asthma risk prediction using machine and deep learning. [PDF]

J Int Med Res
Druvo MMR, Islam A, Chowdhury A, Mohi Uddin KM.   +3 more
europepmc   +1 more source

Strategies for Identification and Mitigation of Sanguinarine in Mustard Oil Adulterated by Argemone—A Comprehensive Review

Food Chemistry International, EarlyView.
Sanguinarine, a toxic alkaloid present in argemone, can lead to epidemic dropsy or chronic diseases through DNA intercalation and immune system suppression. Regulatory efforts face challenges due to economic motivations for adulteration as well as technical, social, and infrastructure barriers.
Gururaj Pejavara Narayana, Subhangi Panigrahi, Suresh Kumar Kalakandan, Hema Vincent, Ashish Rawson   +4 more
wiley   +1 more source

Anthropometrics, physical fitness, and sport-specific performance of young German canoe sprint athletes (U13-U17) to predict senior performance level: a machine-learning approach. [PDF]

Sci Rep
Saal C, Teunissen JW, Granacher U, Helm N, Warnke T, Prieske O.   +5 more
europepmc   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

Journal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

Marketing analytics in banking 4.0: A two-stage explainable AI framework for high-accuracy and well-calibrated predictions. [PDF]

PLoS One
Nasir F, Ali Ahmed A, Yevseyeva I, Kiraz MS.   +3 more
europepmc   +1 more source

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

Journal of Forecasting, EarlyView.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn, Baptiste Meunier, Sebastian Stumpner   +2 more
wiley   +1 more source