scholarly journals PEMODELAN REGRESI NONPARAMETRIK MENGGUNAKAN PENDEKATAN POLINOMIAL LOKAL PADA BEBAN LISTRIK DI KOTA SEMARANG

2017 ◽  
Vol 9 (2) ◽  
pp. 85 ◽  
Author(s):  
Suparti Suparti ◽  
Alan Prahutama
Keyword(s):  
Power Consumption ◽  
San Francisco ◽  
Electrical Energy ◽  
Gaussian Kernel ◽  
Electrical Load ◽  
Local Polynomial ◽  
Load Power ◽  
Central Java ◽  
Polynomial Modeling ◽  
Minimum Bandwidth

Semarang is the provincial capital of Central Java, with infrastructure and economic’s growth was high. The phenomenon of power outages that occurred in Semarang, certainly disrupted economic development in Semarang. Large electrical energy consumed by industrial-scale consumers and households in the San Francisco area, monitored or recorded automatically and presented into a historical data load power consumption. Therefore, this study modeling the load power consumption at a time when not influenced by the use of electrical load (t-1)-th. Modeling using nonparametric regression approach with Local polynomial. In this study, the kernel used is a Gaussian kernel. In local polynomial modeling, determined optimum bandwidth. One of the optimum bandwidth determination using the Generalized Cross Validation (GCV). GCV values obtained amounted to 1425.726 with a minimum bandwidth of 394. Modelling generate local polynomial of order 2 with MSE value of 1408.672. Keywords: electrical load, local polinomial, gaussian kernel, GCV.

scholarly journals Perencanaan PLTS Rooftop untuk Kawasan Pabrik Teh PT Pagilaran Batang

2021 ◽  
Vol 9 (4) ◽  
pp. 888
Author(s):  
MUHAMMAD SULTHON NOVERA REGA ◽  
NAZARUDDIN SINAGA ◽  
JAKA WINDARTA
Keyword(s):  
Renewable Energy ◽  
Performance Assessment ◽  
Solar Power ◽  
Electrical Energy ◽  
Performance Ratio ◽  
Electrical Load ◽  
Tea Plantation ◽  
Central Java ◽  
Processing Plants ◽  
Tea Production

ABSTRAKKawasan perkebunan teh PT Pagilaran Batang, Jawa Tengah memiliki nilai radiasi rata-rata 5,30 kWh/m2/hari sepanjang tahun 2019 dan rata-rata 4,66 kWh/m2/hari dalam rentang 1997-2019. Konsumsi beban listrik PT Pagilaran secara keseluruhan adalah sebesar 2.853.919,89 kWh/tahun. Khusus untuk konsumsi beban listrik pabrik produksi dan pengolahan adalah sebesar 657.104,90 kWh/tahun dengan sumber listrik konvensional PLN. Penelitian ini bertujuan untuk mendesain dan mengetahui unjuk kerja potensi energi listrik yang dapat dihasilkan PLTS rooftop menggunakan simulasi HelioScope sebagai rekomendasi penggunaan energi terbarukan. Dari hasil simulasi diperoleh potensi energi listrik yang dapat dihasilkan oleh PLTS rooftop adalah 629.840,80 kWh/tahun yang dapat memenuhi 95,85% kebutuhan beban listrik untuk pabrik produksi dan pengolahan teh dengan rasio kinerja sebesar 77,5%.Kata kunci: HelioScope, Photovoltaic, PLTS Rooftop, Rasio Kinerja, Tenaga Surya ABSTRACTThe tea plantation area of PT Pagilaran Batang, Central Java has an average radiation value of 5.30 kWh/m2/day throughout 2019 and an average of 4.66 kWh/m2/day in the span of 1997-2019. The electrical load consumption of PT Pagilaran is 2,853,919.89 kWh/year. Specifically for the electrical load consumption in the tea production and processing plants is 657,104.90 kWh/year with conventional electricity source from PLN. This study aims to design and determine the potential solar rooftop performance assessment of electrical energy that could be generated using the HelioScope simulation as the recommendation for applying renewable energy. Based on the simulation result, the potential of electrical energy that can be generated by PLTS rooftop is 629,840.80 kWh/year which could meet 95.85% of the electrical load consumption for the tea production and processing plants with performance ratio of 77.5%.Keywords: HelioScope, Photovoltaic, Solar Rooftop, Performance Ratio, Solar Power

Instrument for measuring and recording Electrical load profiles

2018 ◽  
pp. 111-115
Author(s):  
Yuri Kolev ◽  
Атanas Atanasov ◽  
Таnia Pehlivanova
Keyword(s):  
Power Consumption ◽  
Simultaneous Recording ◽  
Active Power ◽  
Power Lines ◽  
Electrical Load ◽  
Current Transformers ◽  
Measuring Device ◽  
Load Profile

A load profile measuring device takes information about the power consumption without modification of the power lines. Using current transformers, the current is measured in each of the phases and the active power consumed by the user is determined. The developed software for it allows for simultaneous recording at different user selectable timing intervals. The device is designed and tested in two facilities - a School and a Farm.

scholarly journals Real-Time Vehicle Energy Management System Based on Optimized Distribution of Electrical Load Power

2016 ◽  
Vol 6 (10) ◽  
pp. 285 ◽  
Author(s):  
Yuefei Wang ◽  
Hao Hu ◽  
Li Zhang ◽  
Nan Zhang ◽  
Xuhui Sun
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Management System ◽  
Energy Management System ◽  
Electrical Load ◽  
Load Power ◽  
Optimized Distribution

Electric Cooperative Power Consumption Forecasting, Decision Support System and Mapping

2021 ◽  
Vol 10 (1) ◽  
pp. 1-7
Keyword(s):  
Power Consumption ◽  
Social Life ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Electrical Energy ◽  
Well Being ◽  
Series Data ◽  
Managerial Decision ◽  
Statistical Tool ◽  
Clustering And Classification

Electricity is one of the basic needs and it plays an important role in the community in the social and economic development. It is an essential part of our daily lives as well as electrical energy promotes economic well-being and make social life worthwhile. Most electric cooperative encounters difficulty in monitoring the power consumption in their vicinity due to limited number of field personnel. The researcher observed that there is a need for a study on the prediction ofelectric consumption for Nueva Vizcaya Electric Cooperative (NUVELCO) to establish the trend of future consumption. This study also serve basis in managerial decision making (DSS) such as; advisory to the staff for power line clearing, household inspection, and additional transformer, additional purchased of energy. This paper uses two methods, descriptive research and developmental research to analyzed present data. A Correlation Analysis and Linear Regression Analysis is used between temperature and power consumption, precipitation and electric consumption. This statistical tool is used for prediction for analyzing time series data. The researcher derived power consumption differential equation or models which can be used to determine the growth of the electrical energy consumption. Discriminant Analysis is used in Clustering and classification of a set of observations into subsets in mapping the municipalities of the possible rise and fall of power consumption.

Nonparametric Estimation of Nonlinear Dynamics by Local Linear Approximation

2013 ◽  
pp. 368-379
Author(s):  
Isao Shoji
Keyword(s):  
Linear Approximation ◽  
Nonparametric Estimation ◽  
Weighting Function ◽  
Nonlinear Dynamical System ◽  
Gaussian Kernel ◽  
Nonlinear Dynamical ◽  
Local Linear ◽  
Polynomial Modeling ◽  
Dynamical System Models ◽  
Unknown Vector

This chapter discusses nonparametric estimation of nonlinear dynamical system models by a method of metric-based local linear approximation. By specifying a metric such as the standard metric or the square metric on the Euclidean space and a weighting function based on such as the exponential function or the cut-off function, it is possible to estimate values of an unknown vector field from experimental data. It can be shown the local linear fitting with the Gaussian kernel, or the local polynomial modeling of degree one, is included in the class of the proposed method. In addition, conducting simulation studies for estimating random oscillations, the chapter shows the method numerically works well.

Investigation and Optimization of Power Based Smart Home Module Integrated with Automatic Solar Tracking System and MPPT Technique

2019 ◽  
Vol 889 ◽  
pp. 526-532
Author(s):  
Thai Viet Dang ◽  
Si Thong Dinh ◽  
Xuan Toi Bui
Keyword(s):  
Solar Cell ◽  
Solar Energy ◽  
Power Consumption ◽  
Power Systems ◽  
Tracking System ◽  
Electrical Power ◽  
Research Result ◽  
Electrical Energy ◽  
Cell System ◽  
Power Sources

Currently, the world has a lot of research and practical application of intelligent building systems integrated with intelligent power systems. Because Vietnam is a country with potential for solar energy, the integrator of solar energy is being strongly developed. However, the research result of the optimization of electrical energy used by the intelligent type solar integration is rare. This paper presents the design and structure of the module of intelligent control and monitoring via wireless network integrated with the automatic solar concentration system. The system allows easy connection and operation of all electrical power sources including the dispersal solar power to ensure the efficient and lower power consumption. In addition, the solar cell system is applied the Maximum Power Point Tracking technique (MPPT), which helps to stabilize and improve the power generation efficiency of the PV panels. The test results on the module showed absorption performance of automatic solar-cell flat plate systems is raised by 20-30% and power consumption in small households reduced approximately 30%.

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