標(biāo)題: Titlebook: Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities; Case Study: Tipasa, Mustapha Hatti Conference proceedi [打印本頁(yè)] 作者: 柳條筐 時(shí)間: 2025-3-21 19:17
書(shū)目名稱Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities影響因子(影響力)
書(shū)目名稱Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities影響因子(影響力)學(xué)科排名
書(shū)目名稱Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities被引頻次
書(shū)目名稱Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities被引頻次學(xué)科排名
書(shū)目名稱Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities年度引用
書(shū)目名稱Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities年度引用學(xué)科排名
書(shū)目名稱Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities讀者反饋
書(shū)目名稱Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities讀者反饋學(xué)科排名
作者: CROAK 時(shí)間: 2025-3-21 22:49 作者: 懶鬼才會(huì)衰弱 時(shí)間: 2025-3-22 04:04 作者: STALE 時(shí)間: 2025-3-22 08:00 作者: Crepitus 時(shí)間: 2025-3-22 10:06
Dimitrij Mleku? Vrhovnik,Toma? Fabecout under a fast change of irradiance and temperature, also, under four different patterns of partial shading (PS). The simulation results have revealed that the proposed controller can find the Global Maximum Power Point (GMPP) with high efficiency, high speed, and presents a good dynamic behaviour.作者: 慢跑 時(shí)間: 2025-3-22 13:59
Tja?a Tolar,Philip Mason,Bine Krambergert (INC). The simulations are performed under Matlab/Simulink? software, the obtained results are very satisfactory, the proposed system (FLC-PO), demonstrates a good robustness and performs outstandingly under fast irradiance changing conditions compared with the P&O and INC methods.作者: 夸張 時(shí)間: 2025-3-22 19:51
2367-3370 nce on Artificial Intelligence in Renewable Energetic SystemThis book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for ar作者: ENACT 時(shí)間: 2025-3-23 01:00 作者: STAT 時(shí)間: 2025-3-23 01:35
Optimization of Distributed Mean-Level CFAR Detectors Using GA and PSO Algorithms Gaussian clutter considering identical and non-identical CFAR detectors. The obtained results showed that the PSO optimization technique gives better performance than the GA in the case of non-identical CFAR detectors, and the “OR” fusion rule provides the best performance.作者: HALO 時(shí)間: 2025-3-23 07:11 作者: 貪婪地吃 時(shí)間: 2025-3-23 12:59 作者: Thrombolysis 時(shí)間: 2025-3-23 15:17 作者: Memorial 時(shí)間: 2025-3-23 21:32
Dimitrij Mleku? Vrhovnik,Toma? Fabecder to validate the proposed strategy. The simulation results using Matlab/Simulink show the superiority of the proposed MPPT in term of tracking efficiency and settling time to the global MPP (GMPP), under both uniform and non-uniform shading patterns.作者: 最低點(diǎn) 時(shí)間: 2025-3-24 00:29 作者: 進(jìn)步 時(shí)間: 2025-3-24 03:40 作者: 下級(jí) 時(shí)間: 2025-3-24 10:28
Prediction and Characterization of Cooling Load Energy Performance of Residential Building Machine Lctively. For quality analysis, the present proposed methodology can serve as a test platform for measurement and verification of the energy cooling load performance. It can be used as a performance metrics guideline that tells us how much better the proposed model is making a prediction.作者: 我沒(méi)有命令 時(shí)間: 2025-3-24 12:02
Prediction and Characterization of Heating Load Energy Performance of Residential Building Machine Lspectively. For quality analysis, the present proposed methodology can serve as a test platform for measurement and verification of the energy heating load performance. It can be used as a performance metrics guideline that tells us how much better the proposed model is making a prediction.作者: 正常 時(shí)間: 2025-3-24 18:52 作者: Overthrow 時(shí)間: 2025-3-24 21:22
An Improved Energy Management System for Fuel Cell/ Ultra-capacitor Electric Vehicle Based Fuzzy Logric vehicle and State Of Charge (SOC) of ultracapacitor as input and the facture k. as an output, In this paper, the proposed algorithm is evaluated for the part of New European Driving Cycle (NEDC). The simulation was carried out by means of computational simulations in Matlab/Simulink Software.作者: fibroblast 時(shí)間: 2025-3-25 02:41 作者: Living-Will 時(shí)間: 2025-3-25 07:02 作者: Mendacious 時(shí)間: 2025-3-25 10:02
Multi-Objective Optimization of Stand-Alone Hybrid Renewable Energy System for Rural Electrificationonfiguration with a reasonable annual cost of the optimal system (ACS) which is about 7798.71?$ and the COE equal to 0.79?$/kWh for an LPSP?=?0.01%, where the ten households are 0.99 % satisfied by renewable energy sources.作者: cornucopia 時(shí)間: 2025-3-25 11:53
An Efficient Salp Swarm Algorithm for a PV Global Maximum Power Point Tracking Under Partial Shadingas Dormant Partial Swarm Optimization Algorithm (DPSOA) and the classical Partial Swarm Optimization Algorithm (PSOA). The simulation results have proved excellent performances of the SSA to achieve the GMPP.作者: Nucleate 時(shí)間: 2025-3-25 17:38 作者: occurrence 時(shí)間: 2025-3-25 23:07
Optimal Power Flow Management of the Algerian Electric Transmission System Using Moth Flame Optimizen quality and convergence characteristics have been validated on the practical Algerian 114-bus test system. Obtained results have been compared to the standard genetic algorithm (GA) and to the particle swarm optimization (PSO) which demonstrates the efficacy of the MFA in solving large scale OPFM.作者: creditor 時(shí)間: 2025-3-26 02:56
Wind Energy Conversion System Controlled by Particle Swarm Optimization Super Twisting Sliding Mode an objective function. The proposed PSO-STSMC approach reduces powers and currents ripples while maintaining the Sliding Mode Control (SMC) advantages such as robustness. Simulation results show the effectiveness of the proposed strategy in reducing the chattering phenomenon.作者: 報(bào)復(fù) 時(shí)間: 2025-3-26 06:47 作者: 使高興 時(shí)間: 2025-3-26 10:23 作者: 盟軍 時(shí)間: 2025-3-26 13:56
Maximum Power Point Tracking Under Fast Changing Irradiance Using Hybrid Fuzzy-PO Algorithmt (INC). The simulations are performed under Matlab/Simulink? software, the obtained results are very satisfactory, the proposed system (FLC-PO), demonstrates a good robustness and performs outstandingly under fast irradiance changing conditions compared with the P&O and INC methods.作者: 吞吞吐吐 時(shí)間: 2025-3-26 19:36
Conference proceedings 2022unication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the e作者: chronicle 時(shí)間: 2025-3-27 00:23 作者: 枯萎將要 時(shí)間: 2025-3-27 04:39
Elephant Herding Optimization Metaheuristic to Minimize Electricity Cost in a Smart Houseity. In a smart home, most of the appliances operate automatically; it is then possible to operate them during the time when the price of electricity is lower. In this work, we propose a home energy management system using a metaheuristic optimization technique: Elephant Herding Optimization algorit作者: 大火 時(shí)間: 2025-3-27 05:25 作者: 豐滿有漂亮 時(shí)間: 2025-3-27 09:51
Prediction and Characterization of Cooling Load Energy Performance of Residential Building Machine L on the K-Nearest Neighbor (KNN) classifier. The system is implemented and simulated in Anaconda, and its performance is tested on a real dataset that contains 8 features and 768 instances to classify the cooling load magnitude into four (04) classes (4 target name labels) created based on the captu作者: Ornithologist 時(shí)間: 2025-3-27 15:51 作者: 公司 時(shí)間: 2025-3-27 19:10
MPPT Based On Grey Wolf Optimizationoltaics is difficult to use, this is due to the non-linearity of the static characteristic, moreover these characteristic changes, if the temperature or the irradiation vary. This last change results in a variation of the operating point, hence the need to design regulators to monitor the maximum po作者: 注意到 時(shí)間: 2025-3-28 01:54 作者: STANT 時(shí)間: 2025-3-28 02:28 作者: micronutrients 時(shí)間: 2025-3-28 09:43 作者: Default 時(shí)間: 2025-3-28 11:59 作者: 音樂(lè)學(xué)者 時(shí)間: 2025-3-28 15:01
Optimal Location and Size of Shunt Capacitor in Distribution Using Metaheuristic Methodnique of artificial intelligence named the Ant-lion (AL) algorithm has been used to minimize the total annual cost and the total power losses. The suggested AL has been carried out on several test feeders (10, 15, 34 and 85 buses) under MATLAB2021. The obtained results have been compared to a recent作者: 領(lǐng)導(dǎo)權(quán) 時(shí)間: 2025-3-28 19:18 作者: ELATE 時(shí)間: 2025-3-29 00:27 作者: 分離 時(shí)間: 2025-3-29 03:50 作者: Confound 時(shí)間: 2025-3-29 09:08 作者: 懸崖 時(shí)間: 2025-3-29 14:00 作者: quiet-sleep 時(shí)間: 2025-3-29 17:08 作者: 梯田 時(shí)間: 2025-3-29 21:03
An Improved Energy Management System for Fuel Cell/ Ultra-capacitor Electric Vehicle Based Fuzzy Logoved Energy Management System for Fuel Cell/ Ultra-Capacitor Electric Vehicle Based Fuzzy logic, The proposed hybrid electric vehicle consists of fuel cell as the main energy source and ultra-capacitor is used as secondary energy source. The energy management strategy based on fuzzy logic control fo作者: choroid 時(shí)間: 2025-3-30 02:45 作者: 去才蔑視 時(shí)間: 2025-3-30 06:16 作者: DEVIL 時(shí)間: 2025-3-30 12:05 作者: effrontery 時(shí)間: 2025-3-30 12:27 作者: motivate 時(shí)間: 2025-3-30 19:49 作者: 沉思的魚(yú) 時(shí)間: 2025-3-31 00:34
https://doi.org/10.1007/978-3-031-62806-1 on the K-Nearest Neighbor (KNN) classifier. The system is implemented and simulated in Anaconda, and its performance is tested on a real dataset that contains 8 features and 768 instances to classify the cooling load magnitude into four (04) classes (4 target name labels) created based on the captu作者: 激怒某人 時(shí)間: 2025-3-31 03:29 作者: 尖牙 時(shí)間: 2025-3-31 06:51 作者: bacteria 時(shí)間: 2025-3-31 12:15
Hydrological Modeling of Urbanized Basinsve the optimal power flow management (OPFM) of the Algerian electric transmission system 114-Bus. Three objective functions have been optimized, the total fuel cost, the total power losses and total voltage deviation. The particularity and efficiency of the proposed MFO algorithm in terms of solutio作者: ACME 時(shí)間: 2025-3-31 17:12
https://doi.org/10.1007/978-3-031-59611-7CS), the main goal is to control the active and reactive stator powers of the Doubly Fed Induction Generator (DFIG) and the wind turbine speed generated by the Maximum Power Point Tracking (MPPT)..Particle Swarm Optimization (PSO) is used to tune the parameters of five sliding surfaces, by selecting作者: 傳授知識(shí) 時(shí)間: 2025-3-31 20:45 作者: 無(wú)聊點(diǎn)好 時(shí)間: 2025-4-1 00:44
Hydrological Modeling of Urbanized Basinss (HRES) problem, including photovoltaic panels (PV), wind turbines and battery storage. In this context, we have developed an automatic generation approach based on fuzzy rules through a Fuzzy-Adaptive-PSO approach. This approach allows to dynamically modify the rate of the acceleration coefficient作者: Infirm 時(shí)間: 2025-4-1 05:50
Dimitrij Mleku? Vrhovnik,Toma? Fabecnique of artificial intelligence named the Ant-lion (AL) algorithm has been used to minimize the total annual cost and the total power losses. The suggested AL has been carried out on several test feeders (10, 15, 34 and 85 buses) under MATLAB2021. The obtained results have been compared to a recent作者: 閹割 時(shí)間: 2025-4-1 08:36 作者: 突襲 時(shí)間: 2025-4-1 10:52
Dimitrij Mleku? Vrhovnik,Toma? Fabecpartial shading conditions. The main interests of the proposed method are the simple computational implementation steps and her faster convergence speed. The proposal is compared with the Particle Swarm Optimisation (PSO) controller. To prove the robustness of the proposed method, tests are carried
