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Predictor analysis for electricity price forecasting by multiple linear regression
(IEEE, 2020)
This paper examines the multiple linear regression method on electricity price forecasting. Numerous predictors are analyzed to reduce the mean absolute percentage error. The training data includes the dates from September ...
Optimal battery sizing in micro-grid by linear programming
(IEEE, 2020-10-20)
Energy storage plays a crucial role in the micro-grid design in which no grid connection is possible. Although the cost of storage reduced in the past decade, it is still considerably high; thus, the optimization of the ...
A stochastic simulation for a hybrid system of solar panels and EV chargers
(IEEE, 2020-10-20)
In line with the increasing number of electric vehicles, a stochastic approach that simulates the charging stations which is managed hybridlike system of a solar array is discussed in this study. A smart charging system ...
The optimal placement model for electric vehicle charging stations
(IEEE, 2019)
Nowadays, due to the increase in prices and the environmental pollution of fossil fuels, individuals and governments are tending towards the concept of electric vehicles. Therefore, the popularity of electric vehicles is ...
The potential and economic analysis of grid-connected solar PV power in Kenya
(IEEE, 2019-06)
This present study is aimed at minimizing the dependence on fossil fuels thus reducing greenhouse gas (GHG) emissions and also to curb for the rising energy demands in Kenya. 23 locations are considered for their techno-economic ...
Impact of natural gas price on electricity price forecasting in Turkish day-ahead market
(IEEE, 2019-06)
The electricity is a regular commodity that is being sold and bought in a highly transparent and efficient market in Turkey. The market is operated by EXIST and an hourly energy price is formed for every hour in the day-ahead ...
Design of the circuitry, battery management system, and wireless communication of an electric vehicle
(IEEE, 2019-06)
Electric vehicles start to take an essential place in our lives to support the sustainability and energy efficiency. In order to train the required workforce, a team of engineering students is assigned to develop an in-house ...
Flexibility assessment tool by failure-based uncertainty management in power systems
(IEEE, 2019)
Flexibility in power systems operations is the capability to operate the system under secure conditions even after a sudden change in the system conditions. One of the sudden change may be considered as the failure of ...
Price estimation by random walk mean reversion in day-ahead electricity market
(IEEE, 2019)
The fluctuations in the Day-ahead electricity market (DAM) prices generally follow the periodic demand variance. However, the observations of historical data also reveal large jumps or spikes that might be defined as the ...
Comparison of DC-link capacitor types under various grid conditions
(IEEE, 2019-04)
A DC/AC converter can face negative conditions of power systems such as instability. One of the most crucial necessities of the grid is voltage stability. There are some effects of voltage unbalance for grid-tied DC/AC ...
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