2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)最新文献_第3页

Home Computerization for the Elderly And Disabled with Internet of Things 利用物联网为老年人和残疾人实现家庭电脑化

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976471

Sakshi Dhiman, Shivang Gupta, Anshul Chopra, P. C. Vashist

引用次数: 1

A systematic review on the methods of short term load forecasting 短期负荷预测方法综述

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976518

D. Upadhaya, Ritula Thakur, N. Singh

{"title":"A systematic review on the methods of short term load forecasting","authors":"D. Upadhaya, Ritula Thakur, N. Singh","doi":"10.1109/PEEIC47157.2019.8976518","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976518","url":null,"abstract":"Load forecasting is always required for the planning and extension of power system. With the emergence of smart grid, forecasting of load and its management has been a primal concern for a researcher. Load forecasting has been challenging not only for developing countries but also for developed and industrialized nations. The main problems for developing nations are missing necessary data, appropriate load forecasting models and required institutions, these limitations are somewhat less serious for developed nations. Due to limitations in the model structure and missing data forecasted energy demands are often found to deviate from the actual demands. This paper contains a systematic review on the methods of load forecasting which is done on the basis of 126 research papers and the best methods for load forecasting on the basis of time, inputs, outputs and error type have been determined. The methods compared are time series analysis and machine learning algorithms. This meta-analysis has been defined to help researchers to take an effective decision by choosing the right model from their problem.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133820854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Formulation of Efficiency of Inverters for Solar Photovoltaic Power Plants - Indian Case Study 太阳能光伏电站逆变器效率的制定-印度案例研究

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976638

A. Harish, A. Ramanan, P. K. Das, G. Giridhar, K. Balaraman, T. Prabu

{"title":"Formulation of Efficiency of Inverters for Solar Photovoltaic Power Plants - Indian Case Study","authors":"A. Harish, A. Ramanan, P. K. Das, G. Giridhar, K. Balaraman, T. Prabu","doi":"10.1109/PEEIC47157.2019.8976638","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976638","url":null,"abstract":"Indian Government has set ambitious targets for solar PV of 100 GW under the National Solar Mission by the year 2022. The installed capacity has already reached 28GW as on March 2019. The inverter is one of the main components of solar PV conversion system. Due to varying irradiation profile in India, the inverters used in Solar PV applications are subjected to varying levels of DC input power. At present two weighted average methods namely EURO and California Energy Commission (CEC) efficiency formulae have been used by inverter manufacturers worldwide to evaluate the performance of inverters. These methods are representative of inverter efficiencies at Europe and California, thus cannot be suitable benchmarks to find out the conversion efficiency of the inverters in other locations. The present research and this paper proposes about introducing new weighting factors for calculation of inverter efficiency as per irradiation profile in India. As a step 1, for computing the weighting factors the data from Solar Radiation Resource Assessment (SRRA) stations implemented by National Institute Of Wind Energy (NIWE) is used and are categorized into five climatic zones. In step 2 validation of three inverters were done by calculating the weighted average efficiency of these inverters operating in all the climatic zones by considering the new weighting factors. Further in step 3, it was cross-compared with the standard values of EURO and CEC efficiency. In step 4, the modelled overall weighted average efficiency is subsequently compared with the actual measured weighted average efficiency. The measured DC Energy and AC Energy of the plant was used for this purpose. The proposed approach has been generalized to consider the irradiation profile of a particular location for calculating the inverter efficiency and hence it can provide significant insights related to the performance of inverters for the solar projects.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115699621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A low cost simple solution for reducing starting transient currents in low power dc motors 一种降低低功率直流电机启动瞬态电流的低成本简单解决方案

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976664

Arnav Malhotra

引用次数: 0

Optimization of Solar Energy Using ANN Techniques 利用人工神经网络技术优化太阳能

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976854

K. Fatima, Mohammad Aslam Alam, A. Minai

{"title":"Optimization of Solar Energy Using ANN Techniques","authors":"K. Fatima, Mohammad Aslam Alam, A. Minai","doi":"10.1109/PEEIC47157.2019.8976854","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976854","url":null,"abstract":"The adaptation of maximum power point tracking algorithm for photovoltaic systems is of immense importance. In this paper, solar photovoltaic system is developed using MATLAB/SIMULINK which is connected to utility, artificial neural network (ANN) is used as maximum power point tracking (MPPT) algorithm for generation of maximum power by the system. Proportional-Integral (PI) controller that supports the information provided by ANN and generates boost converter duty-cycle helps in improving overall system stability. MPPT is evolved from a highly efficient boost converter where artificial neural network (ANN) with Levenberg-Marquardt (LM) algorithm is used for generating reference voltage for MPPT using feed forward back propagation training algorithm; error calculation is done by using the concept of mean square error algorithm. The developed system is verified under different test conditions and its control strategy shows exceptional performance having tracking efficiency exceeding 94.5%. Developed MATLAB/SIMULINK model offers control strategy and tool for the optimization of solar PV system connected to utility.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115114222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

An Isolated Hybrid WT/PV/MH Power Generation System assisted with an Energy Storage System in conjunction with a Power Management Scheme 一个孤立的WT/PV/MH混合发电系统，配合一个储能系统和一个电源管理方案

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976712

Ankit Gupta, N. Pal, Y. Chauhan

引用次数: 3

A Cumulative Study of Different Power Output and Carbon Credit Earned in Roof Integrated Photovoltaic Thermal (BIPVT) System 屋顶光伏热集成(BIPVT)系统不同输出功率及碳信用累积研究

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976705

A. Dash, S. Agarwal, S. Gairola, A. Banshwar

引用次数: 0

Fault compensation of DFIG based integrated power system using UPFC 基于UPFC的DFIG综合电力系统故障补偿

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976620

Priyanka Suthar, Utkarsh Gupta, D. K. Yadav

引用次数: 4

Heart disease-Sinus arrhythmia prediction system by neural network using ECG analysis 基于心电分析的神经网络心脏病-窦性心律失常预测系统

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976829

Shivendra Kaura, Assem Chandel, N. Pal

{"title":"Heart disease-Sinus arrhythmia prediction system by neural network using ECG analysis","authors":"Shivendra Kaura, Assem Chandel, N. Pal","doi":"10.1109/PEEIC47157.2019.8976829","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976829","url":null,"abstract":"The main severe reason for unnatural death over worldwide, as well as Asian nation especially in India is the coronary failure diseases associated potential by detection of any particular cardiovascular disease at an earlier stage can forestall these attacks. Those who are associated in practicing medical it's generate knowledge with a wealth of large and very useful data gift, and it's not used effectively for predictions. For this reason, the analysis converts the knowledge into a dataset for shaping exploitation totally different data processing algorithms. There's a demand for practitioners of medical to predict cardio diseases even way before when their patients is prone to any CVD. The options that increase the probabilities of the heart attacks are drinking and smoking, lack of physical activities, high level of vital sign, dangerous extent of cholesterol levels, unhealthy and unhygienic diet, damaging use of alcoholic beverage, and high sugar content level food. Cardio vascular diseases (CVD) constitutes coronary disease heart, vas or Stroke, and other hypertensive cardio disease, innate heart, other peripheral artery causes, rheumatic cardio disease, and inflammatory type cardio disease. Prophecies associated descriptions are principal goals of information mining; in observe Prediction of the processed data involves the attributes or the physiological variables in the data set to find a prediction probability or future state values of an alternative attributes. The Description will emphasize on the discovering a common recognizable patterns that describes that information that can be understood by humans.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125658453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Polyfunctional Application of Substratum unified Waveguide Cavity in Dielectric Resonating chamber Antenna and Recompose Circuit 基片统一波导腔在介质谐振室天线及重构电路中的多功能应用

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976830

Ram Krishna, Shiva Sharma

引用次数: 0