Results 131 to 140 of about 5,055,486 (338)

A Hybrid Fuzzy–Support Vector Machine Framework for Real‐Time Dust Detection and Thermal Mapping in Photovoltaic Panels

Energy Science &Engineering, EarlyView.
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker, S. M. Rezaul Karim, MD. Shouquat Hossain, Md. Moshaddek Hossain, Md. Monirul Kabir   +4 more
wiley   +1 more source

Integrating Remote Sensing and Machine Learning for Enhanced Surface Urban Heat Island Analysis and Its Impact on Building Energy Demand

Energy Science &Engineering, EarlyView.
Satellite (MODIS) mapping links Urban Heat Island (UHI) intensity to city‐scale energy demand—higher daytime cooling demand and altered nighttime heating demand—supporting targeted mitigation and planning. ABSTRACT This study examines the surface urban heat island (SUHI) effect on building energy consumption in Tehran from 1998 to 2024, utilizing MODIS
Rasool Maroofiazar, Ali Maboudi Reveshti
wiley   +1 more source

Changing teaching techniques and adapting new technologies to improve student learning in an introductory meteorology and climate course [PDF]

Advances in Geosciences, 2006
Responding to the call for reform in science education, changes were made in an introductory meteorology and climate course offered at a large public university.
E. M. Cutrim, D. Rudge, K. Kits, J. Mitchell, R. Nogueira   +4 more
doaj  

Modeling and Experimental Study of a Dual‐Receiver Parabolic Solar Concentrator for Direct Electricity Generation and Thermal Storage for Isolated Sites

Energy Science &Engineering, EarlyView.
Approximately 64% of the population in sub‐Saharan Africa lacks access to electricity, despite the region's high solar potential, making concentrated solar power a promising solution for decentralized and sustainable energy supply. This study presents the design, construction, and testing of a parabolic solar concentrator with two focal‐point receivers
Sani Dan Nomao Harouna, Nabil Alkassoum, Noma Talibi Soumaila, Ali Aboubacar, Hamza Abarchi Halarou, Boubou Bagre, Makinta Boukar   +6 more
wiley   +1 more source

Binary Nanoparticle Combinations in Acetone‐Based Working Fluids for Thermal Performance Enhancement of Evacuated Tube Solar Water Collectors

Energy Science &Engineering, EarlyView.
Illustration of the work. ABSTRACT This experimental investigation evaluates the thermal performance enhancement of evacuated tube solar water collectors through the implementation of binary nanofluid formulations using acetone as the base fluid. Three metal oxide nanoparticles, including magnesium oxide (MgO), copper oxide (CuO), and titanium dioxide (
Ali Basem, Zukhra Atamuratova, Sardor Sabirov, Otabek Mukhitdinov, Elyor Saitov, Fohagui Fodoup Cyrille Vinceslas   +5 more
wiley   +1 more source

The depiction of Alboran Sea Gyre during Donde Va? using remote sensing and conventional data [PDF]

, 1984
Experienced oceanographic investigators have come to realize that remote sensing techniques are most successful when applied as part of programs of integrated measurements aimed at solving specific oceanographic problems.
Laviolette, P. E.
core   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

High-Voltage Measurement Infrastructure Based on Optical Technology for Transmission Lines

Energies
This paper introduces a singular measurement infrastructure for real-time monitoring of transmission lines, applied to a 230 kV section of the Brazilian grid.
Mauro Augusto da Rosa, Clayrton Monteiro Henrique, Gabriel Santos Bolacell, Hermes Irineu Del Monego, Paulo César Rodrigues de Lima Junior   +4 more
doaj   +1 more source

Concepts for coupling hydrological and meteorological models

, 2001
Earth system modeling, climate modeling, water resource research as well as integrated modeling (e.g., climate impact studies) require the coupling of hydrological and meteorological models. The paper presents recent concepts on such a coupling. It points out the difficulties to be solved, and provides a brief overview on recently realized couplings ...
openaire   +1 more source