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Refinado por: Nome da Publicação: Energies remover
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1
3D Mapping of the Sprinkler Activation Time
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3D Mapping of the Sprinkler Activation Time

Węgrzyński, Wojciech ; Krajewski, Grzegorz ; Tofiło, Piotr ; Jahn, Wolfram ; Król, Aleksander ; Król, Małgorzata

Energies (Basel), 2020-03, Vol.13 (6), p.1450 [Periódico revisado por pares]

Basel: MDPI AG

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2
3D Solar Irradiance Model for Non-Uniform Shading Environments Using Shading (Aperture) Matrix Enhanced by Local Coordinate System
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3D Solar Irradiance Model for Non-Uniform Shading Environments Using Shading (Aperture) Matrix Enhanced by Local Coordinate System

Araki, Kenji ; Ota, Yasuyuki ; Nagaoka, Akira ; Nishioka, Kensuke

Energies (Basel), 2023-05, Vol.16 (11), p.4414 [Periódico revisado por pares]

MDPI AG

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3
5G-Enabled UAVs with Command and Control Software Component at the Edge for Supporting Energy Efficient Opportunistic Networks
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5G-Enabled UAVs with Command and Control Software Component at the Edge for Supporting Energy Efficient Opportunistic Networks

Koumaras, Harilaos ; Makropoulos, George ; Batistatos, Michael ; Kolometsos, Stavros ; Gogos, Anastasios ; Xilouris, George ; Sarlas, Athanasios ; Kourtis, Michail-Alexandros

Energies (Basel), 2021-03, Vol.14 (5), p.1480 [Periódico revisado por pares]

Basel: MDPI AG

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4
Absorption-Enhanced Methanol Steam Reforming for Low-Temperature Hydrogen Production with Carbon Capture
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Absorption-Enhanced Methanol Steam Reforming for Low-Temperature Hydrogen Production with Carbon Capture

Li, Xiao ; Yang, Lingzhi ; Hao, Yong

Energies (Basel), 2023-10, Vol.16 (20), p.7134 [Periódico revisado por pares]

MDPI AG

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5
Academic Topics Related to Household Energy Consumption Using the Future Sign Detection Technique
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Academic Topics Related to Household Energy Consumption Using the Future Sign Detection Technique

Kim, Minkyu ; Park, Chankook

Energies (Basel), 2021-12, Vol.14 (24), p.8446 [Periódico revisado por pares]

Basel: MDPI AG

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6
Accelerating Energy-Economic Simulation Models via Machine Learning-Based Emulation and Time Series Aggregation
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Accelerating Energy-Economic Simulation Models via Machine Learning-Based Emulation and Time Series Aggregation

Bogensperger, Alexander J. ; Fabel, Yann ; Ferstl, Joachim

Energies (Basel), 2022-02, Vol.15 (3), p.1239 [Periódico revisado por pares]

Basel: MDPI AG

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7
Acceleration of Chemical Kinetics Computation with the Learned Intelligent Tabulation (LIT) Method
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Acceleration of Chemical Kinetics Computation with the Learned Intelligent Tabulation (LIT) Method

Haghshenas, Majid ; Mitra, Peetak ; Santo, Niccolò Dal ; Schmidt, David P.

Energies (Basel), 2021-12, Vol.14 (23), p.7851 [Periódico revisado por pares]

Basel: MDPI AG

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8
Acceptance of Demand Response and Aggregators as a Solution to Optimize the Relation between Energy Producers and Consumers in order to Increase the Amount of Renewable Energy in the Grid
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Acceptance of Demand Response and Aggregators as a Solution to Optimize the Relation between Energy Producers and Consumers in order to Increase the Amount of Renewable Energy in the Grid

Tantau, Adrian ; Puskás-Tompos, András ; Fratila, Laurentiu ; Stanciu, Costel

Energies (Basel), 2021-06, Vol.14 (12), p.3441 [Periódico revisado por pares]

Basel: MDPI AG

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9
Access to Deposits as a Stage of Mining Works
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Access to Deposits as a Stage of Mining Works

Skrzypkowski, Krzysztof ; Zagórski, Krzysztof ; Zagórska, Anna ; Sengani, Fhatuwani

Energies (Basel), 2022-11, Vol.15 (22), p.8740 [Periódico revisado por pares]

MDPI AG

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10
Accurate Modeling of CCS Combo Type 1 Cable and Its Communication Performance Analysis for High-Speed EV-EVSE Charging System
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Accurate Modeling of CCS Combo Type 1 Cable and Its Communication Performance Analysis for High-Speed EV-EVSE Charging System

Park, Sanghwa ; Lee, Euibum ; Noh, Yeong-Hoon ; Choi, Dong-Hoon ; Yook, Jong-gwan

Energies (Basel), 2023-08, Vol.16 (16), p.5947 [Periódico revisado por pares]

MDPI AG

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