Household Energy Demand Management

Palomar, Esther; Bravo, Ignácio; Cruz, Carlos

doi:10.1002/9781119899457.ch3

Cited by 7 publications

(1 citation statement)

References 67 publications

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“…We have identified three main aspects or dimensions to be considered in the design and real implementation of a DR programme as a result of evaluating the system prototype in [40,41] through trials at a larger scale across Spain 4 . This system comprises three units interacting as follows: Electricity consumers are provided with an app for preallocating a 24 hour demand along with their time preferences that could be as much elastic as the consumer opts for every appliance to be scheduled.…”

Section: Variable Extraction and Preprocessingmentioning

confidence: 99%

The impact of aggregated demand response to energy communities: Results of a community survey in Spain

Palomar,

Cruz,

Hernandez

et al. 2023

Preprint

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This article presents a study which links the technical, awareness, motivation and behavioural factors affecting the adoption of demand response programmes, aggregation and other domestic energy efficiency measures. The aim is to statistically correlate those factors (and variables) to better understand the role of each one of them played in the effectiveness of future design and deployment of energy efficiency and sustainable energy community initiatives. The data for this study was collected from 102 general population responses to an online categorical multiple response survey (https://putdr2test.web.uah.es/) carried out between November 2022 and March 2023. We apply chi-square test of association, contingency tables, and clustering and k-nearest neighbours algorithms to the dataset, amongst other statistical and machine learning methods, paying special attention to the data preprocessing. Despite the lack of strong associations between those variables as revealed by our experimentation, it showcases a number of four patterns in which factors like the consumer motivation dominate the effective participation in RD initiatives and pilots. Three conclusions can be drawn. The technical dimension is not the weakest, resulting in a promising opportunity to raise awareness of the tangible benefits achieved by using more efficient technologies and engaging in new energy initiatives to motivate the change. Moreover, inconsistent, incomplete or imprecise media, market and regulatory messages can lead to a decline in confidence and loss of motivation among consumers, even between the environmentally concerned ones. To that end, we encourage strategies that relate energy efficiency with quality and innovation, not with effort and a loss of comfort, to overcome the barrier of ignorance and reluctance towards change.

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Section: Variable Extraction and Preprocessingmentioning

confidence: 99%