Enhancing Electricity Price Prediction Accuracy With an Attention Mechanism‐LSTM Hybrid Model
This study proposes an ATT‐LSTM framework for short‐term electricity price forecasting, integrating meteorological data, historical prices, and system load. With careful preprocessing, feature engineering, and attention mechanisms, the model delivers accurate and interpretable predictions of price volatility.
Huidan Zhuo +6 more
wiley +1 more source
A patient journey map based on the experience of temporomandibular disorders patients: a qualitative systematic review and meta-synthesis. [PDF]
Huang M, Huang S, Ma H.
europepmc +1 more source
Forecasting Carbon Prices: A Literature Review
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
ABSTRACT Hippocampal subfields differentially develop and age, and they vary in vulnerability to neurodegenerative diseases. Innovation in high‐resolution imaging has accelerated clinical research on human hippocampal subfields, but substantial differences in segmentation protocols impede comparisons of results across laboratories.
Ana M. Daugherty +40 more
wiley +1 more source
Exploring volatility transmission in Capesize freight contracts: Insights from energy and commodity markets. [PDF]
Mi JJ, Ahmed S, Chen Y.
europepmc +1 more source
Scaling Emerging Healthcare Technology: Managing Paradoxical Tensions in A Connected Health Platform
ABSTRACT To address growing geographical disparities in healthcare access and quality, connected health platforms (CHPs) have emerged as promising solutions. However, rapidly scaling CHPs poses significant challenges, particularly in managing tensions among multiple entities.
Yichuan Wang +4 more
wiley +1 more source
Research on the detection of foreign materials in tobacco shreds based on hyperspectral reflection imaging technology combined with machine learning. [PDF]
Xie D +7 more
europepmc +1 more source
ABSTRACT This study explores how digital transformation, measured by the Global Digitalisation Index (GDI), relates to progress on the UN Sustainable Development Goals (SDGs) across EU member states. Using partial correlation, regression analysis with interaction terms and cluster analysis, the research examines the moderating effects of governance and
Luis Fonseca +4 more
wiley +1 more source
Economic policy uncertainty, intra-industry trade, and China's mechanical and electrical product exports. [PDF]
Liu D, Zhu X, Yu H.
europepmc +1 more source

