Recent advances in various nanomaterials utilized in geothermal heat exchangers
Geothermal heat exchanger (GHE) can be used in energy system for greenhouse gas
reduction, which has been recognized as one of important devices for renewable energy …
reduction, which has been recognized as one of important devices for renewable energy …
A review on hybrid physics and data-driven modeling methods applied in air source heat pump systems for energy efficiency improvement
Purely data-driven modeling methods exhibit inherent “black box” characteristics when
applied to the air source heat pump (ASHP) systems for energy efficiency improvement …
applied to the air source heat pump (ASHP) systems for energy efficiency improvement …
Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms
The consumption of energy in buildings holds considerable importance within the realm of
overall energy usage. This underscores the critical nature of employing efficient strategies …
overall energy usage. This underscores the critical nature of employing efficient strategies …
Interpretable feature selection and deep learning for short-term probabilistic PV power forecasting in buildings using local monitoring data
Accurate probabilistic forecasting of photovoltaic (PV) power is crucial for optimizing energy
scheduling in smart buildings and ensuring the low-carbon, efficient operation of building …
scheduling in smart buildings and ensuring the low-carbon, efficient operation of building …
Short-term wind power forecasting based on multi-scale receptive field-mixer and conditional mixture copula
J Li, J Chen, Z Chen, Y Nie, A Xu - Applied Soft Computing, 2024 - Elsevier
Integrating renewable wind power (WP) into the grid exacerbates variability and challenges
reliability. Establishing an effective forecasting system is crucial for risk avoidance, but …
reliability. Establishing an effective forecasting system is crucial for risk avoidance, but …
DSPM: Dual sequence prediction model for efficient energy management in micro-grid
Power generation and consumption predictions are fundamental for smart grid operations,
addressing challenges posed by renewable energy variability and irregular consumer …
addressing challenges posed by renewable energy variability and irregular consumer …
Interpretable wind power forecasting combining seasonal-trend representations learning with temporal fusion transformers architecture
Z Niu, X Han, D Zhang, Y Wu, S Lan - Energy, 2024 - Elsevier
Wind power forecasting plays a critical role in the efficient integration of wind energy into
power systems. Accurate short-term WPF helps maintain grid stability, optimize power …
power systems. Accurate short-term WPF helps maintain grid stability, optimize power …
A novel resilience-oriented energy management strategy for hydrogen-based green buildings
A Çiçek - Journal of Cleaner Production, 2024 - Elsevier
Green buildings are known as structures that improve the quality of life with their
sustainability, energy efficiency, and environmental friendliness. The load demand in these …
sustainability, energy efficiency, and environmental friendliness. The load demand in these …
Charting new avenues in financial forecasting with TimesNet: The impact of intraperiod and interperiod variations on realized volatility prediction
HG Souto - Expert Systems with Applications, 2024 - Elsevier
This study evaluates TimesNet model for stock realized volatility forecasting, comparing its
efficacy against traditional and contemporary models across key metrics: RMSE, MAE …
efficacy against traditional and contemporary models across key metrics: RMSE, MAE …
Interpretable multi-graph convolution network integrating spatio-temporal attention and dynamic combination for wind power forecasting
Y Zhao, H Liao, S Pan, Y Zhao - Expert Systems with Applications, 2024 - Elsevier
Graph neural networks (GNN) can effectively improve wind power forecasting accuracy due
to their ability to capture spatial correlations between wind farms. However, conventional …
to their ability to capture spatial correlations between wind farms. However, conventional …