Uplifting India from severe energy poverty accounting for strong asymmetries: Do inclusive financial development, digitization and human capital help reduce the asymmetry?

Energy Economics, Год журнала: 2024, Номер 134, С. 107568 - 107568

Опубликована: Апрель 25, 2024

Язык: Английский

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The role of economic policies in achieving sustainable development goal 7: Insights from OECD and European countries

Applied Energy, Год журнала: 2024, Номер 377, С. 124558 - 124558

Опубликована: Сен. 24, 2024

Язык: Английский

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Electricity Demand Forecasting Using Deep Polynomial Neural Networks and Gene Expression Programming During COVID-19 Pandemic

Applied Sciences, Год журнала: 2025, Номер 15(5), С. 2843 - 2843

Опубликована: Март 6, 2025

The power-generation mix of future grids will be quite diversified with the ever-increasing share renewable energy technologies. Therefore, prediction electricity demand become crucial for resource optimization and grid stability. Machine learning- artificial intelligence-based methods are widely studied by researchers to tackle forecasting problem. However, since COVID-19 pandemic broke out, new challenges have surfaced research. In such a short amount time, significant shifts emerged in trends, making it apparent that possibility similar crises escalated complexity management problems. Motivated circumstances, this research presents an hour-ahead day-ahead benchmark using Deep Polynomial Neural Networks (DNN) Gene Expression Programming (GEP) methods. DNN GEP algorithms utilize on-site consumption data collected from university hospital over two years temporal granularity 15-minute intervals. Quarter-hourly meteorological, calendar, daily data, including cases cumulative divided four restriction levels, were also considered. These datasets used not only predict but investigate impact on hospital. nRMSE results show outperforms 8.27% 14.32%, respectively. For computational times, appears much faster than 82.83% 78.56% forecasting,

Язык: Английский

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Role of gender in determining energy poverty, clean energy access, and energy expenditure: Insights from rural China

Energy Economics, Год журнала: 2025, Номер unknown, С. 108369 - 108369

Опубликована: Март 1, 2025

Язык: Английский

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Alleviating Multidimensional Energy Poverty and Energy Unaffordability in Rural Areas: The Role of Renting-Out Land

Social Indicators Research, Год журнала: 2025, Номер unknown

Опубликована: Апрель 11, 2025

Язык: Английский

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How have the COVID pandemic and the war in Ukraine affected energy poverty?

Applied Energy, Год журнала: 2024, Номер 377, С. 124690 - 124690

Опубликована: Окт. 24, 2024

Язык: Английский

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General assessment of electricity access in the Republic of Paraguay based on secondary data sources, Geographic Information Systems, and Energy Poverty

Energy Policy, Год журнала: 2024, Номер 191, С. 114175 - 114175

Опубликована: Май 26, 2024

Язык: Английский

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Multidimensional energy poverty in Colombia: A department-level review from 2018 to 2022

Heliyon, Год журнала: 2024, Номер 10(14), С. e34395 - e34395

Опубликована: Июль 1, 2024

Язык: Английский

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Epidemiological insights into neonatal deaths: The role of cooking fuel pollution in Colombia

International Journal of Hygiene and Environmental Health, Год журнала: 2024, Номер 261, С. 114429 - 114429

Опубликована: Июль 23, 2024

Household air pollution is one of the leading causes death and disease globally. Emerging evidence elevated risk neonatal has been reported in Africa South Asia. However, on extent problem Latin America limited despite persistent use highly polluting cooking fuels. We assessed whether high-polluting household fuels increases compared to low-polluting Colombia.

Язык: Английский

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Reclaiming justice for energy-vulnerable populations: Evidence from the city of los angeles

Energy Strategy Reviews, Год журнала: 2024, Номер 51, С. 101317 - 101317

Опубликована: Янв. 1, 2024

The issues of energy accessibility and vulnerability have garnered significant attention in recent research. However, previous studies tended to emphasize access-based justice while neglecting vulnerability-based justice, particularly emergency scenarios. This study aims address this gap by examining the conceptual differences between two concepts through practical examples exploring profile energy-vulnerable individuals. In study, a dataset comprising 1650 buildings Los Angeles was selected. A spatial regression model employed investigate factors influencing use intensity (EUI) years 2019 2020, as well rate change EUI these years. analysis conducted within framework two-tier combining proposed article. results revealed that, considering impact COVID-19 pandemic on urban environment, more demographic types experienced adverse effects, indicating populations. Among groups, older adults were impacted adversely most, followed Asian population unemployed population. article compensates for shortcomings traditional perspectives confirms typology populations objectively. findings also confirm dependence heterogeneity impacts. will prompt reevaluation equity settings offer theoretical foundation policy decision-making.

Язык: Английский

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