Search Results - Modeling Energy Consumption in Deep Learning Architectures Using Power Laws
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Energy Regulation-Aware Layered Control Architecture for Building Energy Systems Using Constraint-Aware Deep Reinforcement Learning and Virtual Energy Storage Modeling
ISSN: 1996-1073, 1996-1073Published: Basel MDPI AG 01.09.2025Published in 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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Journal Article -
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Energy Consumption Modelling Using Deep Learning Technique — A Case Study of EAF
ISSN: 2212-8271, 2212-8271Published: Elsevier B.V 2018Published in Procedia CIRP (2018)“…Energy consumption is a global issue which government is taking measures to reduce…”
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Energy consumption modelling using deep learning embedded semi-supervised learning
ISSN: 0360-8352, 1879-0550Published: Elsevier Ltd 01.09.2019Published in 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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Predictive Modeling of Energy Consumption for Building Automation Systems Using Deep Learning
Published: IEEE 14.03.2024Published in 2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) (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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Conference Proceeding -
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Optimization of the energy consumption in activated sludge process using deep learning selective modeling
ISSN: 0961-9534, 1873-2909Published: Elsevier Ltd 01.01.2020Published in 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
ISSN: 1530-437X, 1558-1748Published: New York IEEE 15.04.2024Published in 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
ISSN: 1573-7462, 0269-2821, 1573-7462Published: Dordrecht Springer Netherlands 11.04.2025Published in 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
Published: IEEE 08.08.2025Published in 2025 International Conference on Next Generation of Green Information and Emerging Technologies (GIET) (08.08.2025)“…Energy consumption modelling has become increasingly important with the proliferation of smart buildings…”
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Conference Proceeding -
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Deep learning approach to energy consumption modeling in wastewater pumping systems
ISSN: 2045-2322, 2045-2322Published: London Nature Publishing Group UK 12.11.2025Published in 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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Journal Article -
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Sequence-to-sequence deep learning model for building energy consumption prediction with dynamic simulation modeling
ISSN: 2352-7102, 2352-7102Published: Elsevier Ltd 01.11.2021Published in 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
ISSN: 2352-7102, 2352-7102Published: Elsevier Ltd 01.11.2021Published in 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
ISSN: 0957-4174Published: Elsevier Ltd 25.09.2025Published in 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
ISSN: 0306-8919, 1572-817XPublished: New York Springer US 01.06.2023Published in 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
ISSN: 0140-7007, 1879-2081Published: Paris Elsevier Ltd 01.06.2020Published in International journal of refrigeration (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
ISSN: 2813-0359, 2813-0359Published: 22.07.2022Published in 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
ISSN: 1735-1472, 1735-2630Published: Berlin/Heidelberg Springer Berlin Heidelberg 04.12.2025Published in International journal of environmental science and technology (Tehran) (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
ISSN: 2074-904X, 2074-9058Published: Hong Kong Modern Education and Computer Science Press 08.06.2019Published in International journal of intelligent systems and applications (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
Published: IEEE 06.05.2025Published in 2025 3rd International Conference on Electronics, Energy and Measurement (IC2EM) (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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Conference Proceeding -
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Towards an Energy Consumption Index for Deep Learning Models: A Comparative Analysis of Architectures, GPUs, and Measurement Tools
ISSN: 1424-8220, 1424-8220Published: Switzerland MDPI AG 30.01.2025Published in 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
ISSN: 2517-5025, 2517-5025Published: UK Oxford University Press 01.01.2022Published in 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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