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$150 USD / hora
Bandera de FINLAND
kuopio, finland
$150 USD / hora
Aquí son las 12:48 p. m.
Se unió el agosto 16, 2015
0 recomendaciones

Taha N.

@abdelhalimnakabi

5,0 (4 comentarios)
3,0
3,0
100%
100%
$150 USD / hora
Bandera de FINLAND
kuopio, finland
$150 USD / hora
80 %
Trabajos finalizados
100 %
Dentro del presupuesto
100 %
A tiempo
N/A
Tasa de recontratación

Machine learning Ops expert

I have 4 years of AI and machine learning experience both in research and corporate projects. I have a PhD in AI solutions for smart grids and 2 years of experience in teaching AI for master students at the University of Eastern Finland. During my PhD, I made research in smart grid challenges, solutions, technologies and ongoing projects. I designed and implemented state-of-the-art AI and machine learning solutions for solving issues related to the power grid flexibility, dynamic electricity pricing and users' behaviour. I also worked on different corporate projects as an AI consultant, including image recognition for marketing, machine vision for medical images analysis, AI-based water quality management, and data analysis solutions for mining waste-water. I'm currently working as a ML engineer at Tecnotree corporation. Check my linkedIn [login to view URL]

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5,0
$190,00 USD
Good job, excellent freelancer.
Python
Data Processing
Machine Learning (ML)
Avatar del usuario
Bandera de Nick P.
@nedeerlands
hace 7 años
5,0
$1,00 USD
"greate freelancer, he always does amazing work"
Python
Matlab and Mathematica
Machine Learning (ML)
Data Science
+1 más
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Bandera de Abdelhalim A.
@abdelhalimresu
hace 7 años
5,0
$15,00 USD
Excellent work!
Matlab and Mathematica
Statistics
Research Writing
Statistical Analysis
SPSS Statistics
M
Bandera de Mohammad O.
@Moe2017
hace 7 años

Experiencia

Data scientist

SimLabIT
ene 2017 - Presente
Implementing algorithms for simulation data analysis Implementing a recommender system for VR content

Python developer

Société Generale
ene 2016 - dic 2016 (11 meses, 1 día)
Implementing financial indices' calculations in a Python framework and automating the daily calculation and publication

Educación

PhD in AI for smart grids

Kuopion yliopisto, Finland 2017 - 2020
(3 años)

Master of science

Morocco 2011 - 2016
(5 años)

Publicaciones

Computational intelligence for smart grid’s flexibility

Itä-Suomen yliopisto
Recent advances in artificial intelligence (AI) and machine learning (ML) are influencing many aspects of today’s society. The success of AI is a result of the availability of large amounts of data and high computational power. The advances of AI technology can contribute to the next revolution in the most vital asset of the modern life: electricity.

Optimal price-based control of heterogeneous thermostatically controlled loads under...

F1000Research
In this paper, we consider the problem of thermostatically controlled load (TCL) control through dynamic electricity prices, under partial observability of the environment and uncertainty of the control response. The problem is formulated as a Markov decision process where an agent must find a near-optimal pricing scheme using partial observations of the state and action. We propose a long-short-term memory (LSTM) network to learn the individual behaviors of TCL units...

Computational intelligence for demand side management and demand response programs in smart grids

8th International Conference on Bioinspired optimization methods and their applications
The reliability of a power system relies more on its flexibility, which is no longer easy to achieve on the production side because of the large integration of renewable energy sources. With the advances in smart grids, demand side management can achieve this flexibility by making customers participate in demandresponse programs. In this paper, we mainly discuss a variety of techniques mostly relying on computational methods to implement efficient demand response programs...

Deep reinforcement learning for energy management in a microgrid with flexible demand

Sustainable Energy, Grids and Networks
In this paper, we study the performance of various deep reinforcement learning algorithms to enhance the energy management system of a microgrid. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a set of thermostatically controlled loads, a set of price-responsive loads, and a connection to the main grid...

An ANN-based model for learning individual customer behavior in response to electricity prices

Sustainable Energy, Grids and Networks
In this paper, we consider the problem of learning the electricity consumption patterns of an individual residential electricity customer, in response to electricity price signals in a demand response program. Two new methods are presented for predicting the hourly loads using the outdoor temperatures, electricity prices and previous loads...

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