Results 131 to 140 of about 5,698 (257)

Power load forecasting combining deep learning models and improved CLPO algorithm. [PDF]

PLoS One
Song J, Wei X, Li Z, Zhang X, Zhang G, Wang L.   +5 more
europepmc   +1 more source

Tailored Diketopyrrolopyrrole Derivatives for Efficient Deep‐Red Organic Lasers

Advanced Functional Materials, EarlyView.
Tailored diketopyrrolopyrrole derivatives exhibit high stable amplified spontaneous emission with single or dual bands. Incorporated into distributed‐feedback lasers based on one‐ and two‐dimensional dichromated‐gelatin diffractive gratings, these materials provide a robust, flexible platform for integrated organic deep‐red light sources. ABSTRACT Deep‐
Pablo Pasqués‐Gramage, Abelardo Sánchez‐Oliva, Álex Farrando‐Pérez, Pedro G. Boj, M. Victoria Gómez, Ana M. Rodríguez, Pilar Prieto, Rafael Muñoz‐Mármol, Andrew J. Musser, Iván Torres‐Moya, María A. Díaz‐García   +10 more
wiley   +1 more source

DG-LSTM-SA model: A deep gated LSTM network with self-attention mechanism for power generation and load forecasting. [PDF]

PLoS One
Sun G, Zhao Y, Li J, Cui J, Qi X.
europepmc   +1 more source

An Electrowetting Pump

Advanced Functional Materials, EarlyView.
A tubular electrowetting pump moves alternating droplets through a millimeter‐wide channel in discrete, reversible steps, functioning as a fluidic stepper motor. With no moving parts and electrodes insulated from the liquid, it delivers silent, accurate flow. Flexibility allows the pump to be woven directly into textiles for wearable, medical, and soft‐
Robert Hennig, Herbert Shea
wiley   +1 more source

A hybrid LSTM-transformer model for short-term urban electricity load forecasting: a two-city case study. [PDF]

Sci Rep
Liu H, Wei Y, Zhang H, Wang Y, Zhang J, Luo Z.   +5 more
europepmc   +1 more source

Short-term Power Load Forecasting Based on Machine Learning

, 2020
Prognoser för kortvarig effektbelastning är en viktig del av kraftsystemhanteringen.Det är förutsättningen för nätverksstrukturplanering, elhandel och lastplanering.Prognosen för kraftbelastning är direkt relaterad till kraftsystemetssäkerhet, stabilitet och ekonomiska drift.I denna avhandling studeras och analyserasmaskininlärningsbaserade ...
openaire   +1 more source

Sulfation‐Tunable Peptide‐Glycosaminoglycan Hydrogels for Hematopoietic Stem and Progenitor Cell Expansion

Advanced Functional Materials, EarlyView.
Co‐assembly of rationally designed glycosaminoglycan‐binding peptides with sulfated glycosaminoglycans yields supramolecular hydrogels with tunable mechanics and matrix‐mediated cytokine retention. The glycosaminoglycans thereby act as cofactors, driving a coil‐to‐β‐sheet transition that triggers gelation.
Shirel Veretnik, Prannoy Seth, Maximilian Fusenig, Jens Friedrichs, Nicole Fertala, Passant Atallah, Uwe Freudenberg, Ayala Lampel, Carsten Werner   +8 more
wiley   +1 more source

A multi-component hybrid model for renewable energy integrated grid power load forecasting: DWT, SAE, and FA-LSTM. [PDF]

Sci Rep
Peng S, Zhu J.
europepmc   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

A load forecasting method based on edge graph attention network. [PDF]

PLoS One
Gu M, Li X, Cai Y.
europepmc   +1 more source