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International Journal of Renewable Energy Research最新文献

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INFLUENCE OF NANO CERIUM OXIDE IN EMISSION REDUCTION WITH METHYL TERT-BUTYL ETHER - GASOLINE BLENDS AT HCCI ENGINE 纳米氧化铈对hcci发动机甲基叔丁基醚-汽油混合物减排的影响
IF 1 Q2 Energy Pub Date : 2023-01-01 DOI: 10.20508/ijrer.v13i1.13341.g8682
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引用次数: 0
Forecasting of Short-Term and Long-Term Wind Speed of Ras Gharib Using Time Series Analysis 利用时间序列分析预测拉斯加里布的短期和长期风速
IF 1 Q2 Energy Pub Date : 2023-01-01 DOI: 10.20508/ijrer.v13i1.13785.g8680
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引用次数: 1
Energy Management System for a Stand-Alone Multi-Source Grid Wind/ PV/ BESS/ HESS/ Gas turbine/ Electric vehicle Using Genetic Algorithm 基于遗传算法的独立多源电网风能/光伏/ BESS/ HESS/燃气轮机/电动汽车能源管理系统
IF 1 Q2 Energy Pub Date : 2023-01-01 DOI: 10.20508/ijrer.v13i1.13800.g8661
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引用次数: 3
Effect of Rotation and Constant Head Variation on Performance Three Sizes of Pump-as-Turbine (PAT) 旋转和恒水头变化对三种尺寸泵-涡轮(PAT)性能的影响
IF 1 Q2 Energy Pub Date : 2023-01-01 DOI: 10.20508/ijrer.v13i1.13537.g8673
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引用次数: 1
Q-learning-based Optimization of Smart Home's Wireless Sensors Network Lifetime 基于q学习的智能家居无线传感器网络寿命优化
IF 1 Q2 Energy Pub Date : 2023-01-01 DOI: 10.20508/ijrer.v13i1.13684.g8684
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引用次数: 1
Degradation Rate of Brown Macroalgae Sargassum sp. Conversion to Bio-Oil via A Slow Pyrolysis 褐藻马尾藻缓慢热解转化为生物油的降解速率
IF 1 Q2 Energy Pub Date : 2023-01-01 DOI: 10.20508/ijrer.v13i2.13807.g8749
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引用次数: 0
Frequency Management of an Interconnected Power System using Modified Differential Evolution Algorithm 基于改进差分进化算法的互联电力系统频率管理
IF 1 Q2 Energy Pub Date : 2023-01-01 DOI: 10.20508/ijrer.v13i2.13555.g8717
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引用次数: 2
Battery Charging Monitoring System Using PZEM 004t Sensor and DC Voltage Sensor 基于PZEM 004t传感器和直流电压传感器的电池充电监测系统
IF 1 Q2 Energy Pub Date : 2023-01-01 DOI: 10.20508/ijrer.v13i2.14152.g8736
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引用次数: 1
Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: A Case Study of a Wind Farm in Saudi Arabia 基于数据分解和深度学习模型的风速预测——以沙特阿拉伯某风电场为例
Q2 Energy Pub Date : 2023-01-01 DOI: 10.20508/ijrer.v13i3.14088.g8800
With industrial and technological development and the increasing demand for electric power, wind energy has gradually become the fastest-growing and most environmentally friendly new energy source. Nevertheless, wind power generation is always accompanied by uncertainty due to the wind speed's volatility. Wind speed forecasting (WSF) is essential for power grids' dispatch, stability, and controllability, and its accuracy is crucial to effectively using wind resources. Therefore, this study proposes a novel WSF framework for stationary data based on a hybrid decomposition method and the Bidirectional Long Short-term Memory (BiLSTM) to achieve high forecasting accuracy for the Dumat Al-Jandal wind farm in Al-Jouf, Saudi Arabia. The hybrid decomposition method combines the Wavelet Packet Decomposition (WPD) and the Seasonal Adjustment Method (SAM). The SAM method eliminates the seasonal component of the decomposed subseries generated by WPD to reduce forecasting complexity. The BiLSTM is applied to forecast all the deseasonalized decomposed subseries. Five years of hourly wind speed observations acquired from a location in the Al-Jouf region were used to prove the effectiveness of the proposed model. The comparative experimental results, including 27 other models, demonstrated the proposed model's superiority in single and multiple WSF with an overall average mean absolute error of 0.176549, root mean square error of 0.247069, and R-squared error of 0.985987.
随着工业技术的发展和人们对电力需求的不断增加,风能逐渐成为发展最快、最环保的新能源。然而,由于风速的不稳定性,风力发电始终伴随着不确定性。风速预报对电网的调度、稳定和可控性至关重要,其准确性对风电资源的有效利用至关重要。因此,本研究提出了一种基于混合分解方法和双向长短期记忆(BiLSTM)的平稳数据WSF框架,以实现沙特阿拉伯Al-Jouf的Dumat Al-Jandal风电场的高预测精度。混合分解方法结合了小波包分解(WPD)和季节调整法(SAM)。SAM方法消除了WPD生成的分解子序列的季节分量,降低了预测复杂度。应用BiLSTM对所有反季节性分解子序列进行预测。从Al-Jouf地区一个地点获得的5年每小时风速观测资料被用来证明所提出模式的有效性。与其他27个模型的对比实验结果表明,所提出的模型在单WSF和多WSF上均具有优势,总体平均绝对误差为0.176549,均方根误差为0.247069,r平方误差为0.985987。
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引用次数: 0
Path Finder Optimization Algorithm Tuned 3DOFPID Controller for Frequency Stabilization in Wind Integrated Realistic Power System with HVDC line 寻径优化算法调谐3DOFPID控制器在风与直流一体化现实电力系统稳频中的应用
IF 1 Q2 Energy Pub Date : 2023-01-01 DOI: 10.20508/ijrer.v13i1.13302.g8676
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引用次数: 0
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International Journal of Renewable Energy Research
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