Results 211 to 220 of about 127,689 (298)
A Multi-Strategy Enhanced Whale Optimization Algorithm for Long Short-Term Memory-Application to Short-Term Power Load Forecasting for Microgrid Buildings. [PDF]
Qu L, Teng Q, Mai H, Chen J.
europepmc +1 more source
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
A novel reinforcement learning-based approach for short-term load and price forecasting in energy markets. [PDF]
Wu Y, Ma Y, Aliev H.
europepmc +1 more source
Geometry‐Dependent Adhesion in Transparent Monodomain Liquid Crystal Elastomers
Liquid Crystal Elastomers (LCEs) are emerging as exciting pressure‐sensitive adhesives. We examine adhesion in chemically identical elastomer films, exploring the influence of geometry (director orientation) and phase (nematic or isotropic). We demonstrate the potential of these aligned films as transparent, tunable, broad‐temperature‐range smart ...
Aidan Street +3 more
wiley +1 more source
Ensemble Entropy with Adaptive Deep Fusion for Short-Term Power Load Forecasting. [PDF]
Wang Y +7 more
europepmc +1 more source
Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu +3 more
wiley +1 more source
Fuzzy time series for short-term residential load forecasting in smart grids. [PDF]
Kazim U +7 more
europepmc +1 more source
Block Copolymers: Emerging Building Blocks for Additive Manufacturing
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson +3 more
wiley +1 more source
Electric-load forecasting using interval models based on granularity and justifiable principles. [PDF]
Al-Hmouz R +4 more
europepmc +1 more source

