[HTML][HTML] Informing targeted Demand-Side Management: Leveraging appliance usage patterns to model residential energy demand heterogeneity

M Barsanti, S Yilmaz, CR Binder - Energy and Buildings, 2024 - Elsevier
The transition towards decentralised and decarbonised electricity systems requires a
detailed understanding of residential energy demand to inform effective Demand-Side …

Optimal scheduling strategy of household electrical equipment based on scenario dynamic modeling

X He, X Yan - Energy and Buildings, 2024 - Elsevier
Household electricity is highly unpredictable, necessitating a deep understanding of its
impact on energy scheduling for optimal resource allocation and economic gains. This …

Inclusive Growth, Energy Poverty and Digital and Social Development: Cross-Country Analysis of the European Union.

B Tundys, A Bretyn - Energies (19961073), 2024 - search.ebscohost.com
The present study delves into a critical concern on the relationship between energy poverty,
digital and social development and inclusive growth. The main research hypothesis …

Household Energy Requirements and CO2 Emissions In Thailand

O Meangbua - Journal of Management Sciences Suratthani …, 2023 - so03.tci-thaijo.org
This study employs energy input-output and structural decomposition analyses (SDA) to
assess the overall role of economy-wide household consumption on energy-related CO 2 …

[PDF][PDF] Household Electricity Consumption Prediction: Comparing Neural Fitting Optimization Algorithms

CI Nwakanma, LAC Ahakonye, JN Njoku… - 한국통신학회학술대회 …, 2024 - researchgate.net
This work compares neural fitting optimization algorithms for predicting household electricity
consumption. Leveraging gas consumption, income, season, and occupants as inputs …