Results 141 to 150 of about 24,485,484 (328)
Consumer Learning and Hybrid Vehicle Adoption [PDF]
We study the diffusion of hybrid vehicles among consumers. Using data on sales of 11 different models over seven years, we identify the effect of the penetration rate--total cumulative hybrid sales per capita--on new hybrid purchases.
Heutel, Garth, Muehlegger, Erich
core +1 more source
A hybrid sampler for Poisson-Kingman mixture models [PDF]
, 2015 This paper concerns the introduction of a new Markov Chain Monte Carlo scheme for posterior sampling in Bayesian nonparametric mixture models with priors that belong to the general Poisson-Kingman class. We present a novel compact way of representing the
Favaro, Stefano +2 more
core +2 more sources
Hybrid deep learning models for time series forecasting of solar power
Neural computing & applications (Print)Forecasting solar power production accurately is critical for effectively planning and managing renewable energy systems. This paper introduces and investigates novel hybrid deep learning models for solar power forecasting using time series data.
Diaa Salman +3 more
semanticscholar +1 more source
Photoswitchable Conductive Metal–Organic Frameworks
Advanced Functional Materials, EarlyView.A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu +5 more
wiley +1 more source
Hybrid ML/DL Approach to Optimize Mid-Term Electrical Load Forecasting for Smart Buildings
Applied SciencesMost electric energy consumption in the building sector is provided by fossil fuels, leading to high greenhouse gas emissions. However, the increasing need for sustainable infrastructure has triggered a significant trend toward smart buildings, which ...
Ayaz Hussain +7 more
doaj +1 more source
Advanced Functional Materials, EarlyView.The separation of Helium gas from natural gas is challenging but highly important. MIL‐116(Ga), a “non‐porous” metal–organic framework is used as a molecular sieve to separate He from CH4. Druse‐like MIL‐116(Ga) particles are integrated into polysulfone mixed matrix membranes.
Ayisha Komal +10 more
wiley +1 more source
Advances and Optimization Trends in Photovoltaic Systems: A Systematic Review
AIThis article presents a systematic review of optimization methods applied to enhance the performance of photovoltaic (PV) systems, with a focus on critical challenges such as system design and spatial layout, maximum power point tracking (MPPT), energy ...
Luis Angel Iturralde Carrera +5 more
doaj +1 more source
Advanced Functional Materials, EarlyView.This work explores Li‐substituted P2 layered oxides for Na‐ion batteries by crystallographic and electrochemical studies. The effect of lithium on superstructure orderings, on phase transitions during synthesis and electrochemical cycling and on the interplay of O‐ versus TM‐redox is revealed via various advanced techniques, including semi‐simultaneous
Mingfeng Xu +5 more
wiley +1 more source
Machine Learning for Fluid Thermodynamics: State of the Art and Open Challenges
IEEE AccessThis paper presents a critical survey on adopting machine learning in solving complex real fluid thermodynamics problems. After reviewing the primary computational machine learning frameworks employed in thermodynamic modelling, we have analysed current ...
Federico Succetti +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Metal‐tetracene dimeric complexes are synthesized through the pyridyl coordination to either Pt(II) or Pd(II). Photophysical properties are systematically compared as a function of the metal using steady‐state and time‐resolved spectroscopy. The Pt(II) dimer exhibits efficient intramolecular singlet fission and subsequent intramolecular up‐conversion ...
Yifan Bo +4 more
wiley +1 more source