A genetic programming-based ensemble method for long-term electricity demand forecasting. [PDF]
Issa HA, Çevik HH, Yilmaz A, Cunkas M.
europepmc +1 more source
In this strategy, a conductive nano‐probe is employed to induce nanoscale phase transitions and map the nanoscale conductivity and trap density of GST films. By utilizing the contrasting properties of phase‐change states, nano‐resonators are fabricated that exhibit plasmonic conduction and dramatically different transport characteristics.
Sunwoo Bang +4 more
wiley +1 more source
Electricity demand during pandemic times: The case of the COVID-19 in Spain. [PDF]
Santiago I +4 more
europepmc +1 more source
Ferroelectricity in thin HfO2‐based films offers great possibilities for next‐generation neuromorphic memory devices. There, the response to subcoercive voltage signals is driven by the movement of mobile interfaces and their interaction with crystal defects – a yet rather unexplored aspect, which we shed light on and gain new insights into the complex
Maximilian T. Becker +11 more
wiley +1 more source
A dataset of exogenous variables and historical electricity demand for short-term load forecasting of the national interconnected electric system (SENI) in the Dominican Republic from 2021 to 2024. [PDF]
Uceta-Acosta RO +5 more
europepmc +1 more source
Author Correction: Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption. [PDF]
Barbar M +3 more
europepmc +1 more source
The Effect of Purcell Cavities on the Lifetime of Thermally Activated Delayed Fluorescent Emitters
A pressing challenge to OLED displays and lighting is to balance high efficiency and long operational lifetime in the deep blue spectrum. The Purcell effect can reduce the triplet density and hence the probability for destructive energy‐driven triplet annihilation events that limit the OLED lifetime. Here we study of the Purcell effect on two different
Sritoma Paul +4 more
wiley +1 more source
Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors. [PDF]
El-Azab HI +3 more
europepmc +1 more source
Effects of electricity demand reductions under a carbon pricing regime on emissions: lessons from COVID-19. [PDF]
Haxhimusa A, Liebensteiner M.
europepmc +1 more source

