Separate LSTM pathways improve single-household load forecasting
A new multi-input LSTM framework improves day-ahead residential load forecasting by independently encoding daily and weekly temporal patterns, achieving the ...
Tag: energy management
Integrated Neural Network Framework Improves Dynamic Control of Proton Exchange Membrane Fuel Cells
Researchers have developed an integrated computational framework combining a five-state physical model, an LSTM surrogate, and a feedforward neural network ...
Temporal Features Boost HVAC Load Forecasting Accuracy
A study in Energy Informatics shows that incorporating temporal load-history information significantly improves the accuracy of short-term HVAC load forecasting ...
Robust Optimization Coordinates Smart Building Clusters to Balance Power Grid Demands
Researchers developed a two-stage robust optimization method that coordinates smart building clusters and accounts for capability uncertainties while reducing grid ...
Smart Neural Network Steers Dual-Input Converter for Electric Vehicles
A 500 W laboratory prototype of a dual-input converter with a modified deep neural network controller achieved a peak efficiency ...
Machine Learning Model Boosts Microgrid Power Forecasting Accuracy in Simulation
A simulation study reports that an Adaptive Tunicate Swarm Optimized Random Forest achieved higher power generation forecasting accuracy than LGBM ...
Hierarchical machine learning framework targets smarter energy management in distribution grids
A new open access study proposes a four-layer framework combining machine learning forecasting, uncertainty-aware optimization, and automated fault redispatch for ...
Survey maps how AI could run power grids flooded with solar, batteries and EVs
A new open access survey reviews AI methods for operating power grids with high penetration of distributed energy resources and ...
Robust Optimization Framework Tames Uncertainty in Smart EV Parking Lot Energy Management
A hybrid optimization algorithm reduced simulated EV parking lot operational costs by 17.7% and peak grid dependency by 36.3% under ...
Simulated ‘Plug-and-Play’ Control Layer Cuts Fuel Use in Gasoline Vehicle Platoons
A simulation study reports that a plug-and-play supervisory control layer combining neuro-fuzzy tuning, model predictive control, and quantum-inspired prediction lowered ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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