Results 231 to 240 of about 14,767 (290)
Urban energy load dataset of Chattogram: Peak and off-peak variability insights. [PDF]
Barua A +3 more
europepmc +1 more source
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira +4 more
wiley +1 more source
Smart weather aware drone sink SWADS for reliable and energy efficient agricultural wireless sensor networks. [PDF]
Fouad Y +4 more
europepmc +1 more source
Economic Viability of Photovoltaic Systems Providing Frequency Containment Reserve
This article investigates the feasibility of photovoltaic (PV) systems providing frequency containment reserve (FCR) in the Netherlands. The economic analysis demonstrates that a PV plant can profitably participate in FCR without battery storage by maintaining an active power reserve.
Emil Petkovski +3 more
wiley +1 more source
Using Trees as a Natural Weather Station for Wind Pattern Forecasting Applied to Forest Firefighting. [PDF]
Aires VV +3 more
europepmc +1 more source
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui +3 more
wiley +1 more source
Ranking-oriented machine learning framework for probabilistic wind power forecasting with temporal reliability constraints. [PDF]
Li C +7 more
europepmc +1 more source
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar +2 more
wiley +1 more source
Predicting plant stress using SAM-L: novel self-adaptive-meta learner with XAI based on soil moisture and chlorophyll analysis. [PDF]
Alsanoosy T, Malik JA.
europepmc +1 more source

