Зображення обкладинки

Open Data and Models for Energy and Environment

This Special Issue aims at providing recent advancements on open data and models. Energy and environment are the fields of application.For all the aforementioned reasons, we encourage researchers and professionals to share their original works. Topics of primary interest include, but are not limited...

Повний опис

Збережено в:
Формат: Online
Мова:Англійська
Опубліковано: MDPI - Multidisciplinary Digital Publishing Institute 2022
Предмети:
electric vehicles
electricity mix
charging profile
emissions
energy
energy scenarios
photovoltaics
wind
EPLANopt
multi-objective optimization
climate-change
bi-level optimisation method
evolutionary algorithms
renewable energy
wave energy converter
geometric parameters
power take-off
levelised cost of energy
scroll-compressor
experimental validation
numerical model
layout assessment
wave energy conversion
real wave model
building energy management
energy information systems
anomaly detection and diagnosis
classification tree
symbolic aggregate approximation
association rule mining
energy modelling
heating transition
modelling practices
data-driven policy design
local policy
municipality
multi-model ecologies
energy transitions
energy analytics
data-driven methods
building performance analysis energy efficiency
energy flexibility
occupant-centric design
open energy data
thermal building performance
satellite-based solar radiation data
meteorological reanalysis data
ISO 52016-1
single-zone infiltration
digital construction
artificial intelligence
digital twin
nZEB
energy management
energy efficiency
edge computing
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Онлайн доступ:ONIX_20220111_9783036517568_400
Теги: Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!

Інтернет

ONIX_20220111_9783036517568_400

Схожі ресурси