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Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
Autore Gómez Vela Francisco A
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (100 p.)
Soggetto topico Research & information: general
Technology: general issues
Soggetto non controllato deep learning
energy demand
temporal convolutional network
time series forecasting
time series
forecasting
exponential smoothing
electricity demand
residential building
energy efficiency
clustering
decision tree
time-series forecasting
evolutionary computation
neuroevolution
photovoltaic power plant
short-term forecasting
data processing
data filtration
k-nearest neighbors
regression
autoregression
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557776003321
Gómez Vela Francisco A  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolutionary Algorithms in Intelligent Systems
Evolutionary Algorithms in Intelligent Systems
Autore Milani Alfredo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (144 p.)
Soggetto topico Information technology industries
Soggetto non controllato multi-objective optimization problems
particle swarm optimization (PSO)
Gaussian mutation
improved learning strategy
big data
interval concept lattice
horizontal union
sequence traversal
evolutionary algorithms
multi-objective optimization
parameter puning
parameter analysis
particle swarm optimization
differential evolution
global continuous optimization
wireless sensor networks
task allocation
stochastic optimization
social network optimization
memetic particle swarm optimization
adaptive local search operator
co-evolution
PSO
formal methods in evolutionary algorithms
self-adaptive differential evolutionary algorithms
constrained optimization
ensemble of constraint handling techniques
hybrid algorithms
association rules
mining algorithm
vertical union
neuroevolution
neural networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557623203321
Milani Alfredo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Advances in Embedded Computing, Intelligence and Applications
Recent Advances in Embedded Computing, Intelligence and Applications
Autore Portilla Jorge
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (188 p.)
Soggetto topico Information technology industries
Soggetto non controllato high-level synthesis
HLS
SDSoC
support vector machines
SVM
code refactoring
Zynq
ZedBoard
extreme edge
embedded edge computing
internet of things deployment
hardware design
IoT security
Contiki-NG
trustability
embedded systems
collaborative filtering
recommender systems
parallelism
reconfigurable hardware
neuroevolution
block-based neural network
dynamic and partial reconfiguration
scalability
reinforcement learning
embedded system
artificial intelligence
hardware acceleration
neuromorphic processor
power consumption
harsh environment
fog computing
edge computing
cloud computing
IoT gateway
LoRa
WiFi
low power consumption
low latency
flexible
smart port
quantisation
evolutionary algorithm
neural network
FPGA
Movidius VPU
2D graphics accelerator
line-drawing
Bresenham’s algorithm
alpha-blending
anti-aliasing
field-programmable gate array
deep learning
performance estimation
Gaussian process
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576881603321
Portilla Jorge  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui