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| 1 | 中国与美国和欧盟智能电网之比较研究(英文)显示文摘电力系统正面临着全世界社会和经济发展带来的众多挑战。很多国家和地区都把智能电网视为应对21世纪电力需求变化的新思路。由于不同的国家或地区有着不同的自然资源状况,处于不同的技术和社会发展阶段,因此实现智能电网的途径和方法也应该彼此不同。该文总结了中国、美国、欧盟和日本的智能电网研究和实施现状,并比较和分析了中、美、欧3者在电力需求、能源供应、电力输送的安全稳定以及电力市场等方面的异同,建议中国智能电网建设应结合自身特点走具有中国特色的坚强智能电网道路。 | 汤奕 Manisa Pipattanasomporn 邵盛楠 刘浩明 Saifur Rahman | 2009 | 电网技术2009，33，15： | 31 |
| 2 | 大规模风电接入对美国电力系统运行的影响和平抑策略(英文)显示文摘至2010年底,美国的风电装机容量仅次于中国,居世界第二。考虑政府的支持政策和可观的风资源储量,有专家预见,未来美国40%的电能可来自于风力发电。在详细分析大规模风电接入对美国电力系统运行产生的影响的基础上,文中提出了需应对的几个方面的挑战。分析结果显示,最关键的挑战来自于风电功率的波动特性,可将其转化为系统负荷减去风电出力后的净负荷波动特性。随后文章提出了已被实际应用或正在工程示范的几种电网级储能方式来平抑风电接入给电网带来的负面影响。文中也对电网级储能方式对传统发电厂利用因子的影响加以讨论。 | Saifur RAHMAN Manisa PIPATTANASOMPORN | 2011 | 电力系统自动化2011，35，22： | 27 |
| 3 | Extraction and characterization of alumina nanopowders from aluminum dross by acid dissolution process显示文摘A significant amount of aluminum dross is available as a waste in foundry industries in Bangladesh. In this study, alumina was extracted from aluminum dross collected from two foundry industries situated in Dhamrai and Manikgang, near the capital city, Dhaka. Aluminum dross samples were found to approximately contain 75wt% Al2O3 and 12wt% SiO2. An acid dissolution process was used to recover the alumina value from the dross. The effects of various parameters, e.g., temperature, acid concentration, and leaching time, on the extraction of alumina were studied to optimize the dissolution process. First, Al(OH)3 was produced in the form of a gel. Calcination of the Al(OH)3 gel at 1000°C, 1200°C, and 1400°C for 2 h produced θ-Al2O3,(α+θ)-Al2O3, and α-alumina powder, respectively. Thermal characterization of the Al(OH)3 gel was performed by thermogravimetric/differential thermal analysis(TG/DTA) and differential scanning calorimetry(DSC). The phases and crystallite size of the alumina were determined by X-ray diffraction analysis. The dimensions of the alumina were found to be on the nano level. The chemical compositions of the aluminum dross and alumina were determined by X-ray fluorescence(XRF) spectroscopy. The microstructure and morphology of the alumina were studied with scanning electron microscopy. The purity of the alumina extracted in this study was found to be 99.0%. Thus, it is expected that the obtained alumina powders can be potentially utilized as biomaterials. | Saifur Rahman Sarker Zahangir Alam Rakibul Qadir M A Gafur Mohammad Moniruzzaman | 2015 | International Journal of Minerals,Metallurgy and Materials2015，22，4： | 20 |
| 4 | 孟加拉国饮用水砷污染控制策略与方向显示文摘孟加拉国是'一带一路'重要节点国家,经济社会快速发展,正从'最不发达国家'进入到'发展中国家'行列。同时,孟加拉国是全世界砷污染最严重的国家之一,其地下水砷污染形成过程与环境地球化学机制、人群砷暴露途径与风险水平、砷中毒机制与控制原理等在全球范围内具有重要研究价值。此外,孟加拉国政府和国际社会为控制饮用水砷污染开展了大量工作,已取得很好的成效。以饮用水砷污染及其健康风险控制为目标,制定科学、合理、有效的砷污染控制策略,对于孟加拉国在全国范围内从根本解决饮用水安全问题具有重要意义。 | 刘锐平 MOHON SHADHU KHAN Tushar MD RAHMAN Saifur 曲久辉 | 2020 | 环境工程学报2020，14，8： | 2 |
| 5 | Week Ahead Electricity Power and Price Forecasting Using Improved DenseNet-121 Method显示文摘In the Smart Grid(SG)residential environment,consumers change their power consumption routine according to the price and incentives announced by the utility,which causes the prices to deviate from the initial pattern.Thereby,electricity demand and price forecasting play a significant role and can help in terms of reliability and sustainability.Due to the massive amount of data,big data analytics for forecasting becomes a hot topic in the SG domain.In this paper,the changing and non-linearity of consumer consumption pattern complex data is taken as input.To minimize the computational cost and complexity of the data,the average of the feature engineering approaches includes:Recursive Feature Eliminator(RFE),Extreme Gradient Boosting(XGboost),Random Forest(RF),and are upgraded to extract the most relevant and significant features.To this end,we have proposed the DensetNet-121 network and Support Vector Machine(SVM)ensemble with Aquila Optimizer(AO)to ensure adaptability and handle the complexity of data in the classification.Further,the AO method helps to tune the parameters of DensNet(121 layers)and SVM,which achieves less training loss,computational time,minimized overfitting problems and more training/test accuracy.Performance evaluation metrics and statistical analysis validate the proposed model results are better than the benchmark schemes.Our proposed method has achieved a minimal value of the Mean Average Percentage Error(MAPE)rate i.e.,8%by DenseNet-AO and 6%by SVM-AO and the maximum accurateness rate of 92%and 95%,respectively. | Muhammad Irfan Ali Raza Faisal Althobiani Nasir Ayub Muhammad Idrees Zain Ali Kashif Rizwan Abdullah Saeed Alwadie Saleh Mohammed Ghonaim Hesham Abdushkour Saifur Rahman Omar Alshorman Samar Alqhtani | 2022 | Computers, Materials & Continua2022，，9： | 2 |
| 6 | Impacts of ice storage on electrical energy consumptions in office buildings显示文摘 | Fakeha Sehar Saifur Rahman Manisa Pipattanasomporn | | 0，，51： | 1 |
| 7 | Energy Theft Identification Using Adaboost Ensembler in the Smart Grids显示文摘One of the major concerns for the utilities in the Smart Grid(SG)is electricity theft.With the implementation of smart meters,the frequency of energy usage and data collection from smart homes has increased,which makes it possible for advanced data analysis that was not previously possible.For this purpose,we have taken historical data of energy thieves and normal users.To avoid imbalance observation,biased estimates,we applied the interpolation method.Furthermore,the data unbalancing issue is resolved in this paper by Nearmiss undersampling technique and makes the data suitable for further processing.By proposing an improved version of Zeiler and Fergus Net(ZFNet)as a feature extraction approach,we had able to reduce the model’s time complexity.To minimize the overfitting issues,increase the training accuracy and reduce the training loss,we have proposed an enhanced method by merging Adaptive Boosting(AdaBoost)classifier with Coronavirus Herd Immunity Optimizer(CHIO)and Forensic based Investigation Optimizer(FBIO).In terms of low computational complexity,minimized over-fitting problems on a large quantity of data,reduced training time and training loss and increased training accuracy,our model outperforms the benchmark scheme.Our proposed algorithms Ada-CHIO andAda-FBIO,have the low MeanAverage Percentage Error(MAPE)value of error,i.e.,6.8%and 9.5%,respectively.Furthermore,due to the stability of our model our proposed algorithms Ada-CHIO and Ada-FBIO have achieved the accuracy of 93%and 90%.Statistical analysis shows that the hypothesis we proved using statistics is authentic for the proposed technique against benchmark algorithms,which also depicts the superiority of our proposed techniques. | Muhammad Irfan Nasir Ayub Faisal Althobiani Zain Ali Muhammad Idrees Saeed Ullah Saifur Rahman Abdullah Saeed Alwadie Saleh Mohammed Ghonaim Hesham Abdushkour Fahad Salem Alkahtani Samar Alqhtani Piotr Gas | 2022 | Computers, Materials & Continua2022，，7： | 1 |
| 8 | An interval-based MADM approach to the identification of candidate alternatives in strategic resource planning显示文摘 | Pan Jiuping Teklu Yonael Rahman Saifur | 2000 | IEEE Trans on Power Systems2000，15，4： | 1 |
| 9 | Levels of organochlorine pesticide residues in some organs of the ganges perch, lates calcarifer, from the Ganges-Brahmaputra- Meghna Estuary, Bangladesh显示文摘 | Sardar Md Abdul Jabber Yusuf Sharif Ahmed Khan M Saifur Rahman | 2001 | Mar Pollut Bull2001，42，12： | 1 |
| 10 | Value analysis of intermittent generation sources from the system opera- tions perspective显示文摘 | Mounir Bouzguenda Saifur Rahman | 1993 | IEEE Transactions on Energy Con- version1993，8，3： | 1 |
| 11 | An interval based MADM approach to the identification of candidate alternatives in strategic resource planing显示文摘 | Pan aiuping Teklu Yonael Rahman Saifur | 2000 | IEEE Transactions on Power Systems2000，15，4： | 1 |
| 12 | Implications of on-site distributed generation for commercial/industrial facilities显示文摘 | Manisa Pipattanasomporn Michael Willinghan Saifur Rahman | | 0，，01： | 1 |
| 13 | An interval based MADM Approach to the identification of candidate alternatives in strategic resource planing显示文摘 | Pan Jiuping Teklu Yonael Rahman Saifur | 2000 | IEEE Transactions on Power Systems2000，15，4： | 1 |
| 14 | Green Power:what is it and where we can find it?显示文摘 | RAHMAN SAIFUR | 2003 | IEEE Power and Energy Magazine2003，1，1： | 1 |
| 15 | Unit sizing and control of hybrid wind-solar power systems显示文摘 | Raid Chedid Saifur Rahman | 1997 | IEEE Transactions on Energy Conversion1997，12，1： | 1 |
| 16 | Drawing lines by uniform packing 显示文摘 | Asiful Haque Mohammad Saifur Rahman Mehedi Bakht | 2006 | Computers & Graphics2006，30，2： | 1 |
| 17 | Green Power: what is it and where we can find it? 显示文摘 | RAHMAN SAIFUR | 2003 | IEEE Power and Energy Magazine2003，1，1： | 1 |
| 18 | Nanopillar arrays of glassy carbon by anodic aluminum oxide nanoporous templates显示文摘 | Saifur Rahman Yang Hong | 2003 | Nano Lett2003，3，4： | 1 |
| 19 | An expert system based algorithm for short term load foresast显示文摘 | Saifur Rahman Rahul Bhatnagar | 1998 | IEEE Trans on PWRS1998，3，2： | 1 |
| 20 | Drawing lines by uniform packing 显示文摘 | Asiful Haque Mohammad Saifur Rahman Mehedi Bakht | 2006 | Computers & Graphics2006，30，2： | 1 |
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