Results 201 to 210 of about 25,104 (288)

Acoustic impedance inversion via voting stacked regression (VStaR) algorithms. [PDF]

Sci Rep
Surachman LM, Kaka SI, Al-Shuhail A.
europepmc   +1 more source

For the Few, Not the Many: Tracing the Residualist and Compensatory Nature of British Energy Support

Environmental Policy and Governance, EarlyView.
ABSTRACT Drawing on extensive documentary analysis, this article traces the evolution of British energy policy support since World War II. It analyses shifts in policy design through two interpretive lenses: eligibility (residualist vs. universalist) and function (compensatory vs. preventive).
T. M. Croon, M. G. Elsinga, J. S. C. M. Hoekstra, M. Sunikka‐Blank, R. Galvin   +4 more
wiley   +1 more source

Some simulations of age-period-cohort analysis applying Bayesian regularization: Conditions for using random walk model. [PDF]

PLoS One
Matsumoto Y.
europepmc   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

An interpretable statistical approach to photovoltaic power forecasting using factor analysis and ridge regression. [PDF]

Sci Rep
Esen V, Coban B, Kavus BY, Karaca TK, Dindar T, Sarkin AS.   +5 more
europepmc   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

Scalable geometric learning with correlation-based functional brain networks. [PDF]

Sci Rep
You K, Lee Y, Park HJ.
europepmc   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Analysis of drug crystallization by evaluation of pharmaceutical solubility in various solvents by optimization of artificial intelligence models. [PDF]

Sci Rep
Mahdi WA, Alhowyan A, Obaidullah AJ.
europepmc   +1 more source