Výsledky vyhledávání - Modeling Energy Consumption in Deep Learning Architectures Using Power Laws

  1. 1

    Energy Regulation-Aware Layered Control Architecture for Building Energy Systems Using Constraint-Aware Deep Reinforcement Learning and Virtual Energy Storage Modeling Autor Li, Siwei, Tian, Congxiang, Abdalla, Ahmed N.

    ISSN: 1996-1073, 1996-1073
    Vydáno: Basel MDPI AG 01.09.2025
    Vydáno v Energies (Basel) (01.09.2025)
    “… Traditional centralized or flat deep reinforcement learning (DRL) methods often fail to effectively handle the multi-timescale dynamics, large state…”
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  2. 2

    Energy Consumption Modelling Using Deep Learning Technique — A Case Study of EAF Autor Chen, Chong, Liu, Ying, Kumar, Maneesh, Qin, Jian

    ISSN: 2212-8271, 2212-8271
    Vydáno: Elsevier B.V 2018
    Vydáno v Procedia CIRP (2018)
    “…Energy consumption is a global issue which government is taking measures to reduce…”
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  3. 3

    Energy consumption modelling using deep learning embedded semi-supervised learning Autor Chen, Chong, Liu, Ying, Kumar, Maneesh, Qin, Jian, Ren, Yunxia

    ISSN: 0360-8352, 1879-0550
    Vydáno: Elsevier Ltd 01.09.2019
    Vydáno v Computers & industrial engineering (01.09.2019)
    “…•It is used for energy consumption modelling when labelled energy data is limited.•A case study using real-world Electric Arc Furnace data has shown its merits…”
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  4. 4

    Predictive Modeling of Energy Consumption for Building Automation Systems Using Deep Learning Autor Sivasankari, N., Rathika, P.

    Vydáno: IEEE 14.03.2024
    “…In the realm of building automation systems, efficient energy consumption modeling stands as a crucial element for sustainable and intelligent environments…”
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  5. 5

    Optimization of the energy consumption in activated sludge process using deep learning selective modeling Autor Oulebsir, Rafik, Lefkir, Abdelouahab, Safri, Abdelhamid, Bermad, Abdelmalek

    ISSN: 0961-9534, 1873-2909
    Vydáno: Elsevier Ltd 01.01.2020
    Vydáno v Biomass & bioenergy (01.01.2020)
    “… This method consists of selecting the data that represent the best energy consumption using different performance criteria then use this data to train a deep neural network…”
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    Energy Consumption Modeling and Optimization of UAV-Assisted MEC Networks Using Deep Reinforcement Learning Autor Yan, Ming, Zhang, Litong, Jiang, Wei, Chan, Chien Aun, Gygax, Andre F., Nirmalathas, Ampalavanapillai

    ISSN: 1530-437X, 1558-1748
    Vydáno: New York IEEE 15.04.2024
    Vydáno v IEEE sensors journal (15.04.2024)
    “… The optimization of the network energy consumption in the relevant scenarios is essential for the whole system performance due to the constrained energy capacity of UAVs…”
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    Modeling and effect analysis of machining parameters for surface roughness and specific energy consumption during TC18 machining using deep reinforcement learning and neural networks Autor Lu, Juan, Mu, Huailong, Ouyang, Haibin, Zhang, Zhenkun, Ding, Weiping

    ISSN: 1573-7462, 0269-2821, 1573-7462
    Vydáno: Dordrecht Springer Netherlands 11.04.2025
    Vydáno v The Artificial intelligence review (11.04.2025)
    “… Against this background, this paper presents the method of modeling and effect analysis for surface roughness and specific energy consumption during TC18 machining using Deep Reinforcement Learning and Neural Networks…”
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    Deep Learning-Based Energy Consumption Modeling in Smart Buildings Autor Hamyd, Raed, Saroha, Surbhi

    Vydáno: IEEE 08.08.2025
    “…Energy consumption modelling has become increasingly important with the proliferation of smart buildings…”
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  9. 9

    Deep learning approach to energy consumption modeling in wastewater pumping systems Autor Piri, Jamshid, Masoudi, Babak, Haghighi, Mohammad Salkhordeh, Kisi, Ozgur

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 12.11.2025
    Vydáno v Scientific reports (12.11.2025)
    “…A novel deep learning approach combining ResNet, self-attention mechanisms, and Grey Wolf Optimizer is developed for wastewater pumping energy optimization…”
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    Sequence-to-sequence deep learning model for building energy consumption prediction with dynamic simulation modeling Autor Kim, Chul Ho, Kim, Marie, Song, Yu Jin

    ISSN: 2352-7102, 2352-7102
    Vydáno: Elsevier Ltd 01.11.2021
    Vydáno v Journal of Building Engineering (01.11.2021)
    “… Building energy simulation used actual weather data and generated occupancy data. The occupancy, lighting, and equipment schedules for each zone were generated in 5-min intervals using the Lawrence Berkeley National Laboratory occupancy simulator…”
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    An agent-based modeling approach combined with deep learning method in simulating household energy consumption Autor Tian, Shanjun, Lu, Yi, Ge, Xinting, Zheng, Yuanjie

    ISSN: 2352-7102, 2352-7102
    Vydáno: Elsevier Ltd 01.11.2021
    Vydáno v Journal of Building Engineering (01.11.2021)
    “…) from the micro-level entities (such as devices), and deep learning models were conducted and embedded in to predict the household energy consumption behaviors with factors as inputs and behavior parameters as outputs, meanwhile…”
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    Energy consumption and carbon emission modeling and forecasting study with novel deep learning methods Autor Ma, Xiang, Wang, Jian, Huang, Jing, Ke, Yan

    ISSN: 0957-4174
    Vydáno: Elsevier Ltd 25.09.2025
    Vydáno v Expert systems with applications (25.09.2025)
    “…Accurately predicting building energy consumption and carbon emissions is essential for developing and maintaining a sustainable environment…”
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    Deep learning-based energy efficiency and power consumption modeling for optical massive MIMO systems Autor Salama, Wessam M., Aly, Moustafa H., Amer, Eman S.

    ISSN: 0306-8919, 1572-817X
    Vydáno: New York Springer US 01.06.2023
    Vydáno v Optical and quantum electronics (01.06.2023)
    “…). EE refers to one of the easiest and most cost-effective ways to combat climate change, reduce energy costs for consumers, and improve the competitiveness of businesses. Deep Learning (DL…”
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    Abnormal energy consumption detection for GSHP system based on ensemble deep learning and statistical modeling method Autor Xu, Chengliang, Chen, Huanxin

    ISSN: 0140-7007, 1879-2081
    Vydáno: Paris Elsevier Ltd 01.06.2020
    “… The system energy consumption is predicted using mode decomposition based LSTM algorithm, and the difference between predicted value and actual value is used to detect the abnormal system energy consumption by Grubbs’ test…”
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    Modeling Energy Consumption Using Machine Learning Autor Sarswatula, Sai Aravind, Pugh, Tanna, Prabhu, Vittaldas

    ISSN: 2813-0359, 2813-0359
    Vydáno: 22.07.2022
    Vydáno v Frontiers in Manufacturing Technology (22.07.2022)
    “… We developed predictive models for energy consumption using machine learning techniques such as Multiple Linear Regression, Random Forest Regressor, Decision Tree Regressor, and Extreme Gradient Boost Regressor…”
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    Prediction of urban water consumption using AI-based multiple modeling based on deep learning Autor Sadeghi, H., Sadeghfam, S., Sharafati, A., Seyfari, Y.

    ISSN: 1735-1472, 1735-2630
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 04.12.2025
    “… This study applies the inclusive multiple modeling using deep learning models, implemented in MATLAB, to improve prediction robustness in the Mahabad water distribution network in West Azerbaijan Province, Iran…”
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    Adaptive Model for Dynamic and Temporal Topic Modeling from Big Data using Deep Learning Architecture Autor Pathak, Ajeet Ram, Pandey, Manjusha, Rautaray, Siddharth

    ISSN: 2074-904X, 2074-9058
    Vydáno: Hong Kong Modern Education and Computer Science Press 08.06.2019
    “… This paper proposes an adaptive framework for dynamic topic modeling from big data using deep learning approach…”
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    Harnessing Deep Learning for Enhanced Energy Consumption Forecasting in smart Home: A comparative Study of MLP and RNN Architectures Autor Sarah, Younsi, Rabea, Guedouani, Amirouche, Nait Seghir

    Vydáno: IEEE 06.05.2025
    “… The major motivation of this paper is to provide deep learning-based advanced models that would enable the forecasting of household energy consumption with regard to different weather factors…”
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    Towards an Energy Consumption Index for Deep Learning Models: A Comparative Analysis of Architectures, GPUs, and Measurement Tools Autor Aquino-Brítez, Sergio, García-Sánchez, Pablo, Ortiz, Andrés, Aquino-Brítez, Diego

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 30.01.2025
    Vydáno v Sensors (Basel, Switzerland) (30.01.2025)
    “… This study introduces a newly developed energy consumption index that evaluates the energy efficiency of Deep Learning (DL…”
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    Modelling the functional dependency between root and shoot compartments to predict the impact of the environment on the architecture of the whole plant: methodology for model fitting on simulated data using Deep Learning techniques Autor Masson, Abel Louis, Caraglio, Yves, Nicolini, Eric, Borianne, Philippe, Barczi, Jean-Francois

    ISSN: 2517-5025, 2517-5025
    Vydáno: UK Oxford University Press 01.01.2022
    Vydáno v in silico plants (01.01.2022)
    “…Abstract Tree structural and biomass growth studies mainly focus on the shoot compartment. Tree roots usually have to be taken apart due to the difficulties…”
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