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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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