A review on real‐time simulation and analysis methods of microgrids
R AhmadiAhangar, A Rosin, AN Niaki… - … on Electrical Energy …, 2019 - Wiley Online Library
Microgrid is a recently developed concept for future power systems. The main characteristics
of the microgrid are the capability of integration of renewable energy sources and the ability …
of the microgrid are the capability of integration of renewable energy sources and the ability …
Harmony search algorithm and fuzzy logic theory: an extensive review from theory to applications
In recent years, many researchers have utilized metaheuristic optimization algorithms along
with fuzzy logic theory in their studies for various purposes. The harmony search (HS) …
with fuzzy logic theory in their studies for various purposes. The harmony search (HS) …
Residential load forecasting for flexibility prediction using machine learning-based regression model
Flexibility is already an important concept in the context of electricity balancing. Residential
customers' consumptions are usually highly volatile and depend on individual behaviour; …
customers' consumptions are usually highly volatile and depend on individual behaviour; …
Forecasting short term wind energy generation using machine learning
Wind power is very different from other sources due to its volatile and stochastic nature. The
forecasting of wind energy generation is a very important aspect for the reliability and …
forecasting of wind energy generation is a very important aspect for the reliability and …
Comparison of machine learning based methods for residential load forecasting
Load forecasting is a vital factor in electrical power systems due to technical and economic
implications. Its forecasting is, however, a very challenging task due to many variable factors …
implications. Its forecasting is, however, a very challenging task due to many variable factors …
A novel Fuzzy PI controller for improving autonomous network by considering uncertainty
M Abedini, E Mahmodi, MR Mousavi… - … Energy, Grids and …, 2019 - Elsevier
In this paper, we have tried to reduce the frequency deviation in the dynamic mode by
improving the frequency controller and implementing a new method. The proposed …
improving the frequency controller and implementing a new method. The proposed …
A parallel estimation system of stator resistance and rotor speed for active disturbance rejection control of six-phase induction motor
In this paper, a parallel estimation system of the stator resistance and the rotor speed is
proposed in speed sensorless six-phase induction motor (6PIM) drive. First, a full-order …
proposed in speed sensorless six-phase induction motor (6PIM) drive. First, a full-order …
Applying reinforcement learning method for real-time energy management
AB Dayani, H Fazlollahtabar… - … on Environment and …, 2019 - ieeexplore.ieee.org
Today energy management and optimization is a key factor to control the whole production
cycle, distribution and energy consumption. Electrical energy consumption optimization …
cycle, distribution and energy consumption. Electrical energy consumption optimization …
Challenges of smart grids implementation
Increasing share of renewable energy resources, implementation of new technologies and
data management methods in power system, development of communication systems from …
data management methods in power system, development of communication systems from …
[BOOK][B] Demand-side flexibility in smart grid
Demand-side Flexibility in Smart Grid Page 1 SPRINGER BRIEFS IN APPLIED SCIENCES
AND TECHNOLOGY Roya Ahmadiahangar Argo Rosin Ivo Palu Aydin Azizi Demand-side …
AND TECHNOLOGY Roya Ahmadiahangar Argo Rosin Ivo Palu Aydin Azizi Demand-side …