Advanced Power Demand Controller and Billing System Using GSM

2015 ◽  
pp. 215-222
Author(s):  
I. Monah Pradeep ◽  
S. G. Rahul
Keyword(s):  
Power Demand ◽  
Billing System

scholarly journals Estimating the Economic Impacts of Net Metering Schemes for Residential PV Systems with Profiling of Power Demand, Generation, and Market Prices

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3222 ◽  
Author(s):  
Antans Sauhats ◽  
Laila Zemite ◽  
Lubov Petrichenko ◽  
Igor Moshkin ◽  
Aivo Jasevics
Keyword(s):  
Electric Energy ◽  
Energy Generation ◽  
Power Demand ◽  
Market Prices ◽  
Pv Systems ◽  
Billing System ◽  
Net Metering ◽  
Support Costs ◽  
Cost Of Energy ◽  
Long Time

This article analyses the influence of supporting scheme variants on the profitability of a projected investment of residential photovoltaic systems. The focus of the paper lies in evaluating the feasibility for the power system of solar power generation technologies to achieve a balance between energy generation and support costs in a more efficient way. The case study is based on a year-long time series of examples with an hourly resolution of electricity prices from the Nord Pool power market, in addition to the power demand and solar generation of Latvian prosumers. Electric energy generation and the consumption of big data from more than 100 clients were collected. Based on these data, we predict the processes for the next 25 years, and we estimate economic indicators using a detailed description of the net metering billing system and the Monte-Carlo method. A recommendation to change the current net system to a superior one, taking into account the market cost of energy, concludes the paper.

Net Demand Forecasting by Taguchi's T Method in Small or Middle Power Demand with PVs

2017 ◽  
Vol 137 (8) ◽  
pp. 1043-1051 ◽  
Author(s):  
Yusuke Morimoto ◽  
Shintaro Negishi ◽  
Satoshi Takayama ◽  
Atsushi Ishigame
Keyword(s):  
Demand Forecasting ◽  
Power Demand ◽  
Middle Power

Congestion Management in Restructured Power Systems with Economic and Technical Considerations

2019 ◽  
Vol 1 (1) ◽  
pp. 41-46
Author(s):  
Manikandan R ◽  
Kavya P ◽  
Shalini R
Keyword(s):  
Power Systems ◽  
Developed Countries ◽  
Congestion Management ◽  
Power Demand ◽  
Independent System ◽  
Deregulated Power System ◽  
Independent System Operator ◽  
System Operator ◽  
Management Techniques ◽  
Technical Considerations

In this paper, restructuring of monopolistic power systems is inevitable in this day and age to cope up with the radical growth of power demand. In developed countries restructuring is already in place while developing countries are getting accustomed to it. Above and beyond the benefits to customers in terms of economy and quality, there are several challenges prevailing particularly in transmission while exercising deregulation. The foremost challenging task of Independent System Operator (ISO) is managing the transmission line congestion in a deregulated power system. In most of the congestion management techniques, only the economic aspects are considered. The minimum voltage derivation for electronic industries and acceptable voltage derivation for high power applications are considered with suitable weighting factors in the objective function.

Analysis of urbanization influence towards power demand forecasting

2006 ◽  
Author(s):  
Yan Zheng ◽  
Yuansheng Huang ◽  
Jun Fang ◽  
Dongxiao Niu ◽  
Jianxun Qi
Keyword(s):  
Demand Forecasting ◽  
Power Demand

scholarly journals Eco-Driving for Different Electric Powertrain Topologies Considering Motor Efficiency

2021 ◽  
Vol 12 (1) ◽  
pp. 6
Author(s):  
Alexander Koch ◽  
Tim Bürchner ◽  
Thomas Herrmann ◽  
Markus Lienkamp
Keyword(s):  
Dynamic Programming ◽  
Electric Vehicles ◽  
Quadratic Functions ◽  
Simultaneous Optimization ◽  
Speed Profile ◽  
Power Demand ◽  
Electric Motors ◽  
Car Following ◽  
Motor Efficiency ◽  
Computationally Expensive

Electrification and automatization may change the environmental impact of vehicles. Current eco-driving approaches for electric vehicles fit the electric power of the motor by quadratic functions and are limited to powertrains with one motor and single-speed transmission or use computationally expensive algorithms. This paper proposes an online nonlinear algorithm, which handles the non-convex power demand of electric motors. Therefore, this algorithm allows the simultaneous optimization of speed profile and powertrain operation for electric vehicles with multiple motors and multiple gears. We compare different powertrain topologies in a free-flow scenario and a car-following scenario. Dynamic Programming validates the proposed algorithm. Optimal speed profiles alter for different powertrain topologies. Powertrains with multiple gears and motors require less energy during eco-driving. Furthermore, the powertrain-dependent correlations between jerk restriction and energy consumption are shown.

scholarly journals Short-term electric power demand forecastingusing a hybrid model of SARIMA and SVR

2020 ◽  
Vol 619 ◽  
pp. 012035
Author(s):  
QiheLou ◽  
QiLyu ◽  
Zhixiong Na ◽  
Dayan Ma ◽  
Xiaoguang Ma
Keyword(s):  
Electric Power ◽  
Hybrid Model ◽  
Power Demand ◽  
Short Term

scholarly journals Emissions and power demand in optimal energy retrofit scenarios of the Finnish building stock by 2050

2021 ◽  
Vol 70 ◽  
pp. 102896
Author(s):  
Janne Hirvonen ◽  
Juhani Heljo ◽  
Juha Jokisalo ◽  
Antti Kurvinen ◽  
Arto Saari ◽  
...  
Keyword(s):  
Power Demand ◽  
Building Stock ◽  
Energy Retrofit ◽  
Optimal Energy
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