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The time-lag effect of natural gas prices on electricity prices in turkiye: an analysis of the post-pandemic market
(IEEE, 2023)
This study investigates the relationship between natural gas and electricity prices in Turkiye, one of the countries affected by sudden increases in natural gas prices after the pandemic and regional conflicts. Turkiye ...
Insights for the next solar eclipse in Turkish grid with increased solar capacity
(IEEE, 2023)
Solar panels are critical to future electricity generation, particularly as we transition from conventional to sustainable methods. While engineering applications can help address the disadvantages of solar panels in ...
Capacity planning for forming sustainable and cost-effective nanogrids
(IEEE, 2023)
This paper proposes a new strategy for nanogrid capacity planning as a bilevel programming mathematical model with look-ahead logic. The first program, the Planner, is a linear program that solves for the optimal size of ...
Optimizing distributed generation sizing and siting using particle swarm optimization: A comparative study
(IEEE, 2023)
In recent years, distributed generation (DG) has become increasingly popular as a means of mitigating the impact of climate change and ensuring a reliable and resilient power supply. To optimize the use of DG, it is essential ...
Improved LNB power circuit design for enhanced reliability by current limiting control
(IEEE, 2023)
Low Noise Block (LNB) circuits are an essential component of satellite receiving systems in televisions. LNB converts high-frequency satellite signals into a lower frequency range for transmission to the receiver. Also, ...
V2G applicable electric vehicle chargers, power converters & their controllers: A review
(IEEE, 2020-05-27)
This paper aims to present various grid-connected electric vehicle (EV) charger topologies with battery technologies and power electronics converters utilized in bidirectional EV chargers including DC/DC synchronous buck ...
Prediction algorithm & learner selection for European day-ahead electricity prices
(IEEE, 2020-10)
The prediction of day-ahead electricity prices with higher accuracy is always helpful for the market players of the power exchange. This study was intended in the first place to find out the best time series prediction ...
The impact of electric vehicle charging stations on power distribution grid by statistical and probabilistic simulation
(IEEE, 2020-10-20)
Number of electric vehicle charging stations have been increasing for the last decade. They will significantly affect the power distribution grid in terms of increased load and uncertainty. This paper analyzes the impact ...
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 ...
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