检索结果-内蒙古大学图书馆

Performance assessment of SARIMA, MLP and LSTM models for short-term solar irradiance prediction under different climates in Morocco

引用

International Journal of Ambient Energy 2023年第1期44卷 334-350页

作者： El Alani, Omaima Hajjaj, Charaf Ghennioui, Hicham Ghennioui, Abdellatif Blanc, Philippe Saint-Drenan, Yves-Marie El Monady, Mohammed Laboratory of Signals Systems and Components Sidi Mohamed Ben Abdellah University: Faculty of Science and Technology of Fez Fez Morocco Benguerir Morocco Laboratory of Applied Sciences for the Environment and Sustainable Development Higher School of Technology of Essaouira Cadi Ayyad University Essaouira Morocco O.I.E. Centre Observation Impacts Energy MINES ParisTech PSL–Research University Sophia Antipolis CEDEX France ENSAM-Casablanca University Hassan II Casablanca Morocco

Photovoltaic (PV) production is highly dependent on global solar irradiance (GHI) and often experiences irregular fluctuations. With the continuous increase in PV penetration rates, GHI forecasting methods are becoming important to ensure optimal management of the energy produced. In this study, three forecasting models – Multilayer Perceptron (MLP), Long Short-Term Memory (LSTM), and Seasonal Autoregressive Integrated Moving Average (SARIMA) were evaluated to predict GHI one day ahead. Ground measurement data from four sites in Morocco and weather forecasts from the Global Forecast System (GFS) were used to perform the forecast. Results show that forecasts based on MLP and LSTM are more accurate than SARIMA and persistence even if under complicated weather conditions. For clear days with low variability, the RMSE for LSTM, MLP M1, and MLP M2 are 18.58, 12.97, and 45.20 W/m2. For cloudy days with high variability, the RMSE are 103, 60.80 W/m2, and 89.17 W/m2, respectively. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Climate models

来源：评论

学校读者我要写书评

暂无评论

Study on indoor pollutants emission in Akure, Ondo State, Nigeria

Arab Gulf Journal of Scientific Research

引用

Arab Gulf Journal of Scientific Research 2024年第4期42卷 1643-1663页

作者： Abulude, Francis Olawale Suriano, Domenico Oluwagbayide, Samuel Dare Akinnusotu, Akinyinka Abulude, Ifeoluwa Ayodeji Awogbindin, Emmanuel Environmental and Sustainable Research Group Science and Education Development Institute Akure Nigeria Department of Sustainable Development Research Center of Brindisi ENEA-Italian National Agency for New Technologies Energy and Environment Brindisi Italy Department of Agricultural and Bio-Environmental Engineering Federal Polytechnic Idah Nigeria Department of Science Laboratory Technology Rufus Giwa Polytechnic Owo Nigeria Department of Agricultural Economics Bioeconomy and Food Systems Justus – Liebig University (JLU) Giessen Germany Department of Computer Science Bamidele Olumilua University of Education Science and Technology Ekiti Ikere Nigeria

Purpose: This study aimed to characterize the concentrations of indoor pollutants (such as carbon dioxide (CO2), ozone (O3), nitrogen dioxide (NO2) and sulfur dioxide (SO2), as well as particulate matter (PM) (PM1, PM... 详细信息

Purpose: This study aimed to characterize the concentrations of indoor pollutants (such as carbon dioxide (CO₂), ozone (O₃), nitrogen dioxide (NO₂) and sulfur dioxide (SO₂), as well as particulate matter (PM) (PM₁, PM_2.5 and PM₁₀) in Akure, Nigeria, as well as the relationship between the parameters’ concentrations. Design/methodology/approach: The evaluation, which lasted four months, used a low-cost air sensor that was positioned two meters above the ground. All sensor procedures were correctly carried out. Findings: CO₂ (430.34 ppm), NO₂ (93.31 ppb), O₃ (19.94 ppb), SO₂ (40.87 ppb), PM₁ (29.31 µg/m3), PM_2.5 (43.56 µg/m³), PM₁₀ (50.70 µg/m³), temperature (32.4°C) and relative humidity (50.53%) were the average values obtained. The Pearson correlation depicted the relationships between the pollutants and weather factors. With the exception of April, which had significant SO₂ (18%) and low PM₁₀ (49%) contributions, NO₂ and PM₁₀ were the most common pollutants in all of the months. The mean air quality index (AQI) for NO₂indicated that the AQI was “moderate” (51–100). In contrast to SO₂, whose AQI ranged from “moderate” to “very unhealthy,” O₃'s AQI ranged from “good” (50) to “unhealthy” (151–200). Since PM₁, PM_2.5 and PM₁₀ made up the majority of PC1’s contribution, both PM_2.5 and PM₁₀ were deemed “hazardous.” Practical implications: The practical implication of indoor air pollution is long-term health effects, including heart disease, lung cancer and respiratory diseases such as emphysema. Indoor air pollution can also cause long-term damage to people’s nerves, brain, kidneys, liver and other organs. Originality/value: Lack of literature in terms of indoor air qu

关键词： Air quality index Indoor air quality Nigeria Pollutants United States environmental protection agency (USEPA) World health organization (WHO)

来源：评论

学校读者我要写书评

暂无评论

Intelligent Control Based in Neural-Fuzzy of Adaptive Backstepping for The Double Stator IPMSM Powered by a Five-Level NPC Inverter

Intelligent Control Based in Neural-Fuzzy of Adaptive Backst...

引用

Electric And Power Engineering (EPEi), IEEE International Conference And Exposition On

作者： Rabie Benaissa Smail Mansouri Omar Ouledali Department of Electrical Engineering Laboratory for Sustainable Development and Computer Science Faculty of Sciences and Technology University of Adrar Algeria Department of Hydrocarbons and Renewable Energies Laboratory for Energy Environment and Information Systems Faculty of Sciences and Technology University of Adrar Algeria

ISBN: (数字)9798350356199

ISBN: (纸本)9798350356205

This article supplies a proposed approach Neuro Fuzzy Controller (NFC)-Adaptive Backstepping Controller (ABC)-Space Vector Modulation (SVM) for a five-level NPC inverter-Double Stator Interior Permanent Magnet Synchronous Motor (DSIPMSM). This paper’s primary objective is to enhance DSIPMSM’s performance by the use of strong control using the proposed approach. Given its benefits—including high torque density, high efficiency, high power density, and minimal maintenance—DSIPMSM, have recently been the focus of much research. Using the input-output linearization approach and Lyapunov stability theory, asymptotically stable trajectory-following dynamics are demonstrated using nonlinear adaptive backstepping control. The use of fuzzy logic and intelligence-based controllers are increasingly being used to enhance traditional control’s performance and output. In addition, the fuzzy logic controller has a lot of flaws that are presently being fixed by the extremely effective NFC tool. The proposed method’s worth was demonstrated by the simulation results in terms of durability, effective tracking dynamics, precision, and good disturbance rejection with little ripple.

关键词： Fuzzy logic Adaptation models Backstepping Torque Simulation Modulation Stators Vectors Inverters Lyapunov methods

来源：评论

学校读者我要写书评

暂无评论

Characterization of the Three-dimensional Pore Structure of Coke Using the Maximal Ball Method

引用

ISIJ International 2025年第3期65卷 360-371页

作者： Igawa, Daisuke Matsuo, Shohei Matsushita, Yohsuke Aoki, Hideyuki Hayashizaki, Hideyuki Saito, Yasuhiro Department of Chemical Engineering Graduate School of Engineering Tohoku University 6-6-07 Aoba Aramaki Aoba-ku Sendai Miyagi980-8579 Japan Department of Sustainable Energy Hirosaki University 3 Bunkyo-cho Hirosaki Aomori036-8651 Japan Coal & Coke Research Department Ironmaking Research Laboratory Process Research Laboratories Research & Development Nippon Steel Corporation 20-1 Shintomi Futtsu Chiba293-8511 Japan Department of Applied Chemistry Kyushu Institute of Technology 1-1 Sensui-cho Tobata Kitakyushu Fukuoka804-8550 Japan

The three-dimensional pore structure and strength characteristics of two types of coke, Coke CC (produced from caking coal) and Coke LC (produced from low-quality coal), were assessed employing the maximal ball (MB) method and the finite element method (FEM). The MB analysis showed that Coke LC demonstrated larger and more connected pores, characterized by a higher coordination number, indicating greater pore connectivity. The FEM stress analysis showed that Coke LC displayed a less uniform matrix, leading to localized stress concentrations and increased anisotropy in the elastic modulus. These findings indicate that the lower drum strength of Coke LC is because of its nonuniform pore structure and higher susceptibility to stress concentration. Multiple regression analysis confirmed that pore connectivity, quantified by the coordination number, significantly impacts coke strength, with higher coordination numbers (greater than 8) being associated with increased elastic modulus. These results underscore the importance of a uniform, highly interconnected pore structure in enhancing coke strength, offering valuable insights for optimizing coke production to improve its mechanical properties. © 2025 The Iron and Steel Institute of Japan.

关键词： Coke

来源：评论

学校读者我要写书评

暂无评论

Assessing the Efficacy of Improved Learning in Hourly Global Irradiance Prediction

引用

Computers, Materials & Continua 2023年第11期77卷 2579-2594页

作者： Abdennasser Dahmani Yamina Ammi Nadjem Bailek Alban Kuriqi Nadhir Al-Ansari Salah Hanini Ilhami Colak Laith Abualigah El-Sayed M.El-kenawy Department of Mechanical Engineering Faculty of Science and TechnologyGIDD Industrial Engineering and Sustainable Development LaboratoryUniversity of RelizaneBourmadiaRelizane48000Algeria Laboratory of Biomaterials and Transport Phenomena(LBMPT) University of MedeaUrban PoleMedea26000Algeria Energies and Materials Research Laboratory Faculty of Sciences and TechnologyUniversity of TamanghassetTamanrasset10034Algeria Sustainable Development and Computer Science Laboratory Faculty of Sciences and TechnologyAhmed Draia University of AdrarAdrarAlgeria CERIS Instituto Superior TécnicoUniversidade de LisboaLisbon1049-001Portugal Civil Engineering Department University for Business and TechnologyPristina10000Kosovo Department of Civil Environmental and Natural Resources EngineeringLulea University of TechnologyLulea97187Sweden Engineering and Architecture Faculty Nisantasi UniversityIstanbulTurkey Computer Science Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl al-Bayt UniversityMafraq25113Jordan Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman19328Jordan MEU Research Unit Middle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan School of Computer Sciences Universiti Sains MalaysiaPulau Pinang11800Malaysia Department of Computing and Information Systems School of Engineering and TechnologySunway University MalaysiaPetaling Jaya27500Malaysia Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt

Increasing global energy consumption has become an urgent problem as natural energy sources such as oil,gas,and uranium are rapidly running *** into renewable energy sources such as solar energy is being pursued to counter *** energy is one of the most promising renewable energy sources,as it has the potential to meet the world’s energy needs *** study aims to develop and evaluate artificial intelligence(AI)models for predicting hourly global *** hyperparameters were optimized using the Broyden-FletcherGoldfarb-Shanno(BFGS)quasi-Newton training algorithm and STATISTICA *** from two stations in Algeria with different climatic zones were used to develop the *** error measurements were used to determine the accuracy of the prediction models,including the correlation coefficient,the mean absolute error,and the root mean square error(RMSE).The optimal support vector machine(SVM)model showed exceptional efficiency during the training phase,with a high correlation coefficient(R=0.99)and a low mean absolute error(MAE=26.5741 Wh/m^(2)),as well as an RMSE of 38.7045 Wh/m^(2) across all ***,this study highlights the importance of accurate prediction models in the renewable energy,which can contribute to better energy management and planning.

关键词： Renewable energy energy prediction global irradiation artificial intelligence BFGS quasi-Newton training algorithm

来源：评论

学校读者我要写书评

暂无评论

Real Time Implementation of Non-Intrusive Appliance Load Monitoring to Improve the Energy Efficiency of a Smart Home 12

Real Time Implementation of Non-Intrusive Appliance Load Mon...

引用

2024 12th International Conference on systems and Control, ICSC 2024

作者： Chabane, L. Chrifi-Alaoui, L. Drid, M.-D. Drid, S. University of Geulma Laboratoire de Génie Electrique de Guelma Electrical Engineering and Automatic Department Algeria IUT de l'Aisne 13 Avenue François Mitterrand Soissons Cuffies02880 France University of Science and Technology Houari Boumedien Electrical and Industrial Systems Laboratory Algiers Algeria Higher National School of Renewable Energy Environment and Sustainable Development Batna05078 Algeria

ISBN: (纸本)9798331531812

The increase of the energy demand presents a main problem for modern buildings. The energy saving and reduction of energy consumption are the two challenges of the world. This paper consists in determining the consumption by uses in a domestic environment from the measurements taken at the level of the energy meter just downstream, using a current and voltage sensor, without a learning phase inside the residence. This so-called non-intrusive method has several advantages. It is used to process load curves and extract useful information for identifying uses, especially the most energy intensive. Also, this method helps us to review the energy management, control, metering and billing systems for our consumption, to achieve our goal of increasing energy efficiency and minimizing consumption. © 2024 IEEE.

关键词： Smart homes

来源：评论

学校读者我要写书评

暂无评论

Multi-Agent Formation Control under Switching Network and Input Constraints

引用

IFAC-PapersOnLine 2023年第2期56卷 2620-2625页

作者： Djati Wibowo Djamari Azwirman Gusrialdi Muhamad Rausyan Fikri Yuliana Susilowati Autonomous Systems Laboratory Faculty of Engineering Technology Sampoerna University Indonesia Faculty of Engineering and Natural Sciences Tampere University Finland Climate Change and Sustainable Development Research Center for Climate and Atmosphere The National Research and Innovation Agency Indonesia

This work discusses formation control of heterogeneous Multi-Agent systems (MASs) under discrete time setting where its formation size is scalable by a scaling factor. The case with and without input constraints are discussed. The communication network is assumed to be jointly connected and the leader-follower network is assumed for the unconstrained case. Compared to the previous work on distributed scalable formation control for heterogeneous agents, this work considers input constraints in the formulation. The proposed algorithm is based on the discrete time version of the internal model principle and the constraint is handled by the command governor. Numerical examples are shown to illustrate the proposed method.

关键词： Multi-agent formation Internal Model Principle Input Constraint

来源：评论

学校读者我要写书评

暂无评论

Bioactive film based on chitosan incorporated with cellulose and aluminum chloride for food packaging application:Fabrication and characterization

引用

Food Bioscience 2023年第3期53卷 1612-1619页

作者： Eya Beji Sherif M.A.S.Keshk Sabrine Douiri Khaled Charradi Rached Ben Hassen Maher Gtari Hamadi Attia Dorra Ghorbel University of Carthage INSATCentre Urbain NordB.P.6761080TunisTunisia University of Sfax ENISFood AnalysisValorizationand Safety LaboratoryLAVASALR11ES45BPW 3038SfaxTunisia University of Tunis El Manar ISSBATLaboratory of BioresourcesEnvironment and BiotechnologyLR22ES049 Street Zouheir EssafiCP 1006TunisTunisia Technopark Borj Cedria Research and Technology Center of EnergyCRTEnNanomaterials and Systems for Renewable Energy LaboratoryBP 095Hammam-LifTunisia University of Tunis El Manar ISSBATLaboratory of Materials and Environment for Sustainable DevelopmentLR18ES109 Street Zouheir EssafiCP 1006TunisTunisia

Bioactive packaging materials are developed responding to the considerable environmental and human health risks caused by plastic *** this study,a new generation of ternary composite films based on aluminum chloride(AlCl_(3))/chitosan(CS)/cellulose(Cel)was fabricated for use as bioactive ***,XRD,SEM and TGA results confirmed AlCl_(3)/CS incorporation with Cel and homogeneous distribution in the ***-Vis spectrometry of the ternary composite films showed a lack of light transmission in the UVA and UVB regions,indicating the highest protective efficiency of the composite *** AlCl_(3)/CS/Cel composite films manifested higher water uptake in comparison with CS/Cel film,thus AlCl_(3) improved the hydrophilicity and mechanical properties of AlCl_(3)/CS/Cel composite ***,the AlCl_(3)/CS/Cel composite exhibited better antimicrobial activity against Gram-positive and Gram-negative bacteria than the pristine *** results suggested that the bioactive AlCl_(3)/CS/Cel film utilized in this study might be a promising material in food packaging to prolong the shelf life and improve food safety.

关键词： Bioactive packaging film Chitosan Cellulose Aluminum chloride

来源：评论

学校读者我要写书评

暂无评论

Comparing the climate change mitigation potentials of alternative land uses:Crops for biofuels or biochar *** regrowth

引用

Geography and Sustainability 2022年第4期3卷 347-357页

作者： Anne Cecilie Løvenskiold Xiangping Hu Wenwu Zhao Francesco Cherubini Department of Energy and Process Engineering Industrial Ecology ProgrammeNorwegian University of Science and Technology(NTNU)TrondheimNorway State Key Laboratory of Earth Surface Processes and Resource Ecology Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Institute of Land Surface System and Sustainable Development Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China

Using biomass from dedicated crops for energy production and natural vegetation regrowth are key elements in future climate change mitigation ***,there are still uncertainties about the mitigation potentials that can be achieved by the different land-based systems and how they perform relative to each *** this study,we use harmonized future land use datasets to identify global land areas dedicated to second generation bioenergy crop production in 2050 under different climate *** then assess the global climate change mitigation potentials of using biomass for producing bioethanol with(BECCS)or without carbon capture and storage,biochar,or a synthetic fuel(e-methanol).For the latter,the electricity required to produce hydrogen for e-methanol synthesis is sourced from either wind power or the projected average electricity mix in *** potential from natural regrowth on the identified land is also *** all the cases,we modelled emissions of greenhouse gases from the life-cycle stages and use parameterized models to estimate local biomass growth *** identified land areas range from 1.95 to 13.8 million hectares and can provide from 30 to 178 mega ton(Mt)dry biomass annually from dedicated *** change mitigation potentials range from 11 to 257 MtCO_(2)-***^(−1),depending on technological option and land *** largest mitigation is delivered by BECCS,but e-methanol can achieve similar findings when hydrogen is sourced from wind *** hydrogen is produced from grid electricity,e-methanol can result in net positive emissions.E-methanol can also deliver more final energy than bioethanol(4.04 vs.1.27 EJ yr^(−1)).Natural vegetation regrowth can generally achieve higher mitigation than bioethanol,but less than *** optimal combination of BECCS and natural vegetation regrowth can achieve a larger mitigation,up to 281 MtCO_(2)-***^(−1),indicating that integrated solutions can help to achieve suc

关键词： Negative emission technologies Natural regrowth Land management Bioenergy systems Carbon neutrality

来源：评论

学校读者我要写书评

暂无评论

Detecting Faults In Photovoltaic Panels And Diagnosing Them Using Hybrid Artificial Intelligence

Detecting Faults In Photovoltaic Panels And Diagnosing Them ...

引用

Energy Transition and Security (ICETS), International Conference on

作者： Mohammed Bouzidi Smail Mansouri Abdelkader Harrouz Omar Ouledalli Department of Sciences and Technology University of Tamanghasset Algeria Energy and Materials Laboratory University of Tamanghasset Algeria Energy Environment and Information Systems Laboratory University of Ahmed Draia Algeria Sustainable Development and Computer Science Laboratory University of Ahmed Draia Algeria LDD Laboratory University of Ahmed Draia Algeria

Solar energy has advanced to rank among the top renewable energy sources in the world today due to a number of factors, including sustainability. Solar energy is a naturally replenishing renewable energy source that does not quickly run out of supply. We can depend on the sun as a source of energy for thousands of years without damaging the biosphere. Additionally, solar panels can produce a lot of electricity even in areas with little sun exposure. Monitoring and identifying problems with self-sustaining solar panels have become increasingly crucial with the rise in their utilization. In this regard, a cutting-edge strategy (Adaptive Neuro -Fuzzy Inference System) largely reliant on smart technologies and hybrid artificial intelligence is suggested to guarantee and boost energy efficiency and improve the dependability of existing solar panels in the Algerian desert. Temperature variations and variances in solar radiation intensity cause substantial climate fluctuations in this area. This suggested method makes use of real-world data gathered from the examined system to help increase electricity output and promptly address any problems that may occur, assuring a steady supply of energy to remote places. In fact, the intelligent diagnostic method has produced remarkably accurate results, enabling the timing of the studied photovoltaic panels' flaws and the early diagnosis of any system problems. As a result, these systems are more productive and maintenance downtime is decreased.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：