Methods for weighting decisions to assist modelers and decision analysts: A review of ratio assignment and approximate techniques
Computational models and simulations often involve representations of decision-making
processes. Numerous methods exist for representing decision-making at varied resolution …
processes. Numerous methods exist for representing decision-making at varied resolution …
Projected urban flood risk assessment under climate change and urbanization based on an optimized multi-scale geographically weighted regression
F Han, J Yu, G Zhou, S Li, T Sun - Sustainable Cities and Society, 2024 - Elsevier
Previous research has primarily focused on evaluating flood risks influenced by single
factors, often neglecting the combined impacts of climate change and urbanization on …
factors, often neglecting the combined impacts of climate change and urbanization on …
EnergyScope TD: A novel open-source model for regional energy systems
The transition towards more sustainable, fossil-free energy systems is interlinked with a high
penetration of stochastic renewables, such as wind and solar. Integrating these new energy …
penetration of stochastic renewables, such as wind and solar. Integrating these new energy …
A shape-based clustering method for pattern recognition of residential electricity consumption
L Wen, K Zhou, S Yang - Journal of cleaner production, 2019 - Elsevier
Pattern recognition of residential electricity consumption refers to discover different electricity
consumption patterns from electricity consumption data (ECD), which can provide valuable …
consumption patterns from electricity consumption data (ECD), which can provide valuable …
A short review on data mining techniques for electricity customers characterization
An important tool to manage electrical systems is the knowledge of customers' consumption
patterns. Data Mining (DM) emerges as an important tool for extracting information about …
patterns. Data Mining (DM) emerges as an important tool for extracting information about …
Recognition and classification of typical load profiles in buildings with non-intrusive learning approach
The recent increasing spread of Advanced Metering Infrastructure (AMI) has enabled the
collection of a huge amount of building related-data which can be exploited by both energy …
collection of a huge amount of building related-data which can be exploited by both energy …
A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings
In this paper, a tool for the detection and diagnosis of anomalous electrical daily energy
patterns relative to a transformer substation of a university campus was developed and …
patterns relative to a transformer substation of a university campus was developed and …
[HTML][HTML] Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data
J Leprince, C Miller, W Zeiler - Energy and Buildings, 2021 - Elsevier
Over the last decade, collecting massive volumes of data has been made all the more
accessible, pushing the building sector to embrace data mining as a powerful tool for …
accessible, pushing the building sector to embrace data mining as a powerful tool for …
[HTML][HTML] Clustering commercial and industrial load patterns for long-term energy planning
In future smart energy systems, consumers are expected to change their load patterns as
they become a significant source of flexibility. To ensure reliable load profile forecasts for …
they become a significant source of flexibility. To ensure reliable load profile forecasts for …
Developing a Multi-Criteria Decision Making approach to compare types of classroom furniture considering mismatches for anthropometric measures of university …
The mismatch between students' anthropometric measures and school furniture dimensions
have been investigated in many countries. In Iran, collegians spend at least a quarter of the …
have been investigated in many countries. In Iran, collegians spend at least a quarter of the …