Applications and modeling techniques of wind turbine power curve for wind farms—A review

F Bilendo, A Meyer, H Badihi, N Lu, P Cambron… - Energies, 2022 - mdpi.com
In the wind energy industry, the power curve represents the relationship between the “wind
speed” at the hub height and the corresponding “active power” to be generated. It is the most …

[PDF][PDF] Supporting meaningful chemistry learning and higher-order thinking through computer-assisted inquiry: A design research approach

M Aksela - 2005 - Citeseer
ABSTRACT A nine-stage research project was conducted to create a “rich” ICT learning
environment, applicable to chemistry-classroom practice, employing design research to …

Multivariate methods for indoor PM10 and PM2. 5 modelling in naturally ventilated schools buildings

M Elbayoumi, NA Ramli, NFFM Yusof… - Atmospheric …, 2014 - Elsevier
In this study the concentrations of PM 10, PM 2.5, CO and CO 2 concentrations and
meteorological variables (wind speed, air temperature, and relative humidity) were …

Towards quantum-secured permissioned blockchain: Signature, consensus, and logic

X Sun, M Sopek, Q Wang, P Kulicki - Entropy, 2019 - mdpi.com
While Blockchain technology is universally considered as a significant technology for the
near future, some of its pillars are under a threat of another thriving technology, Quantum …

A dashboard for supporting slow tourism in green infrastructures. A methodological proposal in Sardinia (Italy)

G Balletto, A Milesi, M Ladu, G Borruso - Sustainability, 2020 - mdpi.com
Spatial planning and territorial promotion can benefit largely from the application of the
Information Communication Technology (ICT) at different scales. From knowledge …

[HTML][HTML] Development and comparison of regression models and feedforward backpropagation neural network models to predict seasonal indoor PM2. 5–10 and PM2 …

M Elbayoumi, NA Ramli, NFFM Yusof - Atmospheric Pollution Research, 2015 - Elsevier
A combination of multivariate statistical methods, including multiple linear regression (MLR)
and feedforward backpropagation (FFBP) were used to evaluate the influence of seasons on …

FaDe: a blockchain-based fair data exchange scheme for big data sharing

Y Chen, J Guo, C Li, W Ren - Future Internet, 2019 - mdpi.com
In the big data era, data are envisioned as critical resources with various values, eg,
business intelligence, management efficiency, and financial evaluations. Data sharing is …

Decentralized mesh-based model predictive control for swarms of UAVs

SR Bassolillo, E D'amato, I Notaro, L Blasi, M Mattei - Sensors, 2020 - mdpi.com
This paper deals with the design of a decentralized guidance and control strategy for a
swarm of unmanned aerial vehicles (UAVs), with the objective of maintaining a given …

Power load forecasting considering climate factors based on IPSO-elman method in China

J Liu, Y Yin - Energies, 2022 - mdpi.com
In order to implement the national need for the optimal allocation of power resources, power
load forecasting, as an important research topic, has important theoretical and practical …

Examining land use/land cover change and its prediction based on a multilayer perceptron markov approach in the luki biosphere reserve, Democratic Republic of …

OO Michel, Y Ying, F Wenyi, C Chen, KS Kaiko - Sustainability, 2021 - mdpi.com
Villages within the Luki Biosphere Reserve and the surrounding cities have undergone
rapid demographic growth and urbanization that have impacted the reserve's natural …