Taha N. Profile

EKSPLORO

5,0

(4 përshtypje)

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$150 USD / orë

kuopio,

finland

$150 USD / orë

Aktualisht është 3:42 m.d. këtu

U bashkua gusht 16, 2015

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Taha N.

@abdelhalimnakabi

5,0

(4 përshtypje)

3,0

100%

$150 USD / orë

kuopio,

finland

$150 USD / orë

80%

Punët e Plotësuara

100%

Brenda Buxhetit

100%

Në Kohë

Asnjë

Shpeshtësia e Rimarrjes në Punë

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]

Shikoni të gjitha Python Developers në Finland

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Identifikohu për të diskutuar çdo detaj gjatë bisedës.

Portfolio

7916710

Check my website for portfolio

7916710

Check my website for portfolio

Vlerësimet

Ndryshimet u ruajtën

Duke shfaqur 1 - 4 nga 4 përshtypje

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1,6

$555,00 USD

Python code to train neural network

disappointed

Python

Algorithm

Software Architecture

CUDA

Machine Learning (ML)

Erland W.

@fhx

•

7 years ago

5,0

$190,00 USD

Binary classification task

Good job, excellent freelancer.

Python

Data Processing

Machine Learning (ML)

Nick P.

@nedeerlands

•

7 years ago

5,0

$1,00 USD

Project for abdelhalimnakabi

"greate freelancer, he always does amazing work"

Python

Matlab and Mathematica

Machine Learning (ML)

Data Science

+1 më shumë

Abdelhalim A.

@abdelhalimresu

•

7 years ago

5,0

$15,00 USD

matlab analysis

Excellent work!

Matlab and Mathematica

Mohammad O.

@Moe2017

•

7 years ago

Përvoja

SimLabIT

jan 2017 - E tashme

Implementing algorithms for simulation data analysis Implementing a recommender system for VR content

Société Generale

jan 2016 - dhj 2016 (11 months, 1 day)

Implementing financial indices' calculations in a Python framework and automating the daily calculation and publication

Arsimi

PhD in AI for smart grids

Kuopion yliopisto,

Finland

2017 - 2020

(3 years)

Master of science

Morocco

2011 - 2016

(5 years)

Botime

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...