Energy Efficiency

Papers
(The H4-Index of Energy Efficiency is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Performance optimization of a bush refrigerator “the pot in pot” for hot climate zones: Mali case study460
Issues of using parametric insurance (PI) to Taiwan energy-saving performance contract (ESPC): A snapshot74
Global oil price shocks and China’s transportation sector: new evidence from dynamic jumps in oil prices48
Correction to: Thirty years of climate mitigation: lessons from the 1989 options appraisal for the UK39
The environmental performance of zero-emission buildings in a fossil-free energy system35
Understanding the energy behavior of households in the mountainous town of Metsovo, Greece32
Exploring sustainability potential of integrated modeling approach for a residential building in composite climate of India: A case study31
Economy-wide rebound and the returns on investment in energy efficiency30
Energy efficiency and energy depletion analysis in oil-exporting developing countries29
NABERS: 25 year program overview28
Thermal performance of a box-window double-skin façade with semi-transparent photovoltaics28
Analysis of methods to transform existing buildings into Nearly Zero Energy Buildings (NZEB)26
Impact of energy efficiency information on homebuying searches: evidence from a visual choice experiment in the USA26
Energy efficiency at building sites: barriers and drivers24
Impact of incentives to purchase energy-efficient products: evidence from Chinese households based on a mixed logit model23
Consumers’ preferences for energy-efficient air conditioners in a developing country: a discrete choice experiment using eco labels23
Understanding drivers of intention to reduce heating-related energy use in five European countries22
Residential power scheduling with renewable energy and storage in a smart grid22
A comparison between different machine learning techniques for predicting heating energy consumption for residential buildings in a cold climate21
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