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Open Data and Energy Analytics

Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy,...

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Gespeichert in:
Format: Online
Sprache:Englisch
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2021
Schlagworte:
data envelopment analysis
Kohonen self-organizing maps
factor analysis
multiple regression
energy efficiency
social media
energy-consuming activities
energy consumption
machine learning
ontology
energy performance certificate
heating energy demand
buildings
data mining
classification
regression
decision tree
support vector machine
random forest
artificial neural network
open data
electrification modelling
Malawi
OnSSET
MESSAGEix
reproducibility
collaborative work
open modelling and data
data-handling
integrated assessment modelling
data pre- and post-processing
space heating
domestic hot water
market assessment
EU28
district heating
data analytics
big data
forecasting
energy
polygeneration
clustering
kNN
pattern recognition
heating
building stock
heat map
spatial analysis
heat density map
building performance simulation
parametric modelling
energy management
model calibration
Passive House
energy planning
energy potential mapping
urban energy atlas
urban energy transition
energy data
data-aware planning
spatial planning
open data analytics
smart cities
open energy governance
urban database
energy mapping
building dataset
energy modelling
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
Online-Zugang:ONIX_20210501_9783039362189_430
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