Digitalization is destined to play a major role in facilitating the decarbonization and decentralization of the electric power sector going through challenging times of the energy transition. The rise of machine learning-based energy management solutions aiming to increase energy efficiency is supported by ever-growing amounts of data, progress in computing power, connectivity growth, and advances in AI.
The power sector's prominent machine learning applications aim to accommodate renewables' intermittency, unlock hidden sources of flexibility, and deploy smart supply and demand management.
Endowed with machine learning intelligence, occupancy-centric energy management strategies drive down energy consumption in the building sector while maintaining inhabitants' comfort.
With more than 50 million electric vehicles (EVs) hitting the roads in the next 5 years, reinforcement learning-based smart EV charging can reduce the electrical grid's strain, increase photovoltaic self-consumption, and improve EV drivers' satisfaction level.

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Women in Data Science Brussels

WiDS - Digitalization of the Electric Power Sector: Machine learning based appli...