top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Energy Efficient Cities of Today and Tomorrow
Energy Efficient Cities of Today and Tomorrow
Autore Heinonen Jukka
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (256 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato ALPG
building energy use
carbon footprint
climate change mitigation
consumption
decision-making
electricity
energy audit
energy community
energy democracy
energy efficient refurbishment measures
energy footprint
energy mapping
energy modelling
energy transition
European Union
green buildings
greenhouse gases
historic buildings
household
household economies of scale
household size
international travel
LEED rating system
load profiles
local travel
localized weather data
LPG
Manhattan
methodology
mobility patterns
modelling
multi-level perspective
national travel
non-motorized modes
operation and management
passenger transport energy use
policymaking
population density
pro-environmental attitude
pro-environmental behavior
public transport
renewable energies
residential
residential buildings
rural
sustainable cities
sustainable transition
Swedish cities
Theory of Planned Behavior
transition management
transition roadmaps
transport infrastructure
urban
urban building energy modelling
urban building energy use model
urban form
urban scale energy modelling
urban zones
Wepro model
workflow
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557606303321
Heinonen Jukka  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Open Data and Energy Analytics
Open Data and Energy Analytics
Autore Nastasi Benedetto
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (218 p.)
Soggetto topico Research and information: general
Soggetto non controllato artificial neural network
big data
building dataset
building performance simulation
building stock
buildings
classification
clustering
collaborative work
data analytics
data envelopment analysis
data mining
data pre- and post-processing
data-aware planning
data-handling
decision tree
district heating
domestic hot water
electrification modelling
energy
energy consumption
energy data
energy efficiency
energy management
energy mapping
energy modelling
energy performance certificate
energy planning
energy potential mapping
energy-consuming activities
EU28
factor analysis
forecasting
heat density map
heat map
heating
heating energy demand
integrated assessment modelling
kNN
Kohonen self-organizing maps
machine learning
Malawi
market assessment
MESSAGEix
model calibration
multiple regression
OnSSET
ontology
open data
open data analytics
open energy governance
open modelling and data
parametric modelling
Passive House
pattern recognition
polygeneration
random forest
regression
reproducibility
smart cities
social media
space heating
spatial analysis
spatial planning
support vector machine
urban database
urban energy atlas
urban energy transition
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557116603321
Nastasi Benedetto  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui