Results 191 to 200 of about 169,533 (287)
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe +3 more
wiley +1 more source
Vulcan version 4.0 high-resolution annual carbon dioxide emissions in the U.S. for the 2010-2022 time period. [PDF]
Gurney KR +5 more
europepmc +1 more source
This study presents a hierarchical coordination framework where multiple VPPs interact with the DSO to optimize energy trades and flexibility offers. Each VPP aggregates DERs and DR, performing internal optimization, day‐ahead bidding, and assessing flexibility to reduce excess renewable generation and pollution.
Alireza Zare +4 more
wiley +1 more source
Multi-temporal dimension prediction of new energy electricity demand based on chaos-LSSVM neural network. [PDF]
Wu Y +6 more
europepmc +1 more source
ABSTRACT Traditional air conditioners suffer from low energy efficiency and exacerbate grid peak loads. While ice storage offers energy‐saving potential, the systematic regulation of ice packing fraction (IPF) on cooling consumption and its synergy with dynamic carbon emissions remains unexplored.
Di Yang, Wenpeng Hong, Xu Jin
wiley +1 more source
Fuzzy time series for short-term residential load forecasting in smart grids. [PDF]
Kazim U +7 more
europepmc +1 more source
An Innovative Rural Heating System Utilizing Coupled Cascade Thermal Storage: A Performance Analysis
Fig. 1. New rural heating system ABSTRACT This study presents a new rural heating system based on cascaded heat storage and air‐source heat pumps. Through a comparative analysis using the TRNSYS software between this system and the traditional solar‐assisted air‐source heat pump system, it was found that compared with the latter, the new system saves ...
Leilei Jiang +7 more
wiley +1 more source
Econometric methodology for selecting explanatory factors for power consumption. [PDF]
Guefano S.
europepmc +1 more source
A novel cascade nanofluid‐based PV/T–TEG hybrid system (CS4) achieves 81.1% thermal and 18.75% exergy efficiency while cutting CO₂ emissions by 7.8 tons year⁻¹. The system delivers superior energy performance, economic savings, and environmental benefits, offering a sustainable pathway for next‐generation solar energy applications.
Abdelhak Lekbir +4 more
wiley +1 more source
The multi-objective optimization of residential building glass in summer-hot and winter-cold regions using genetic algorithms: energy consumption, carbon emissions, and health performance analysis. [PDF]
He Y, Fu X, Li S, Guo J.
europepmc +1 more source

