Photovoltaic systems generate electricity around noon, when many homes are empty. Conversely, residential electricity … demand peaks in the evening, when production from solar sources is impossible. Based on a randomized control trial, we assess … the effectiveness of alternative demand response measures aimed at mitigating these imbalances. More precisely, through …

collected via a household survey is used to estimate an electricity demand frontier function. We further investigate whether …This paper estimates the level of transient and persistent efficiency in the use of electricity in Swiss households … energy and investment literacy have an influence on the household electricity consumption. The results show significant …

distinguished resources – electricity and water – in the same experimental setting. We find that, on average, our social comparison … electricity savings are impersistent and occur in the evening hours, which only slightly overlap with peak hours. We argue that … electricity conservation due to social comparisons is driven by short-run changes in households' electricity saving behavior …

household electricity consumption. These programs are designed to increase awareness of household energy consumption with … but participated later. The evidence suggest that the customers who participated in the survey reduced their electricity …

electricity consumption. These programs are designed to increase awareness of household energy consumption with personalized … electricity consumption by 6.7%, compared with customers who had not yet participated in the survey. In addition, as the quantiles …

impact of containment measures on wholesale electricity demand using the augmented auto-regressive-moving-average model. The … Alert Level-4 lockdown had the largest, significant and negative effect on electricity demand compared to other containment … level measures. Alert Level 4 resulted in a 15.5 % reduction in wholesale electricity demand. Structural breaks in the data …

-scale electrification planning studies have been based on top-down electricity demand targets. Yet, poorly representing the heterogeneity in … the electricity demand can lead to inappropriate energy planning, inaccurate energy system sizing, and misleading cost … assessments. Here we introduce M-LED, Multi-sectoral Latent Electricity Demand, a geospatial data processing platform to estimate …

contrast to the demand of such citizens for green electricity. …As long as electricity is generated from fossil fuels, the reduction of its consumption is an important direction for … examine the relevance of a large set of well-known determinants of electricity consumption such as household and dwelling char …

-scale electrification planning studies have been based on top-down electricity demand targets. Yet, poorly representing the heterogeneity in … the electricity demand can lead to inappropriate energy planning, inaccurate energy system sizing, and misleading cost … assessments. Here we introduce M-LED, Multi-sectoral Latent Electricity Demand, a geospatial data processing platform to estimate …

In this article, we investigate the heterogeneity in household electricity demand in Switzerland. We use a quantile … regression approach in order to assess the impacts of electricity prices, income and other socio-demographic characteristics … deciles of electricity use do not react to changes in electricity prices, while those situated at upper-end of the electricity …