[PDF][PDF] Energy management algorithms in smart grids: State of the art and emerging trends

J Klaimi, R Rahim-Amoud… - … Journal of Artificial …, 2016 - researchgate.net
The electric grid is radically evolving into the smart grid, which is characterized by improved
energy efficiency of available resources. The smart grid permits interactions among its …

Predictability of energy use in homes

D Lachut, N Banerjee, S Rollins - … green computing conference, 2014 - ieeexplore.ieee.org
Predictability of home energy usage forms the basis of many home energy management and
demand-response systems. While existing studies focus on designing more accurate …

Solving the fair electric load shedding problem in developing countries

OI Oluwasuji, O Malik, J Zhang… - Autonomous Agents and …, 2020 - Springer
Often because of limitations in generation capacity of power stations, many developing
countries frequently resort to disconnecting large parts of the power grid from supply, a …

Algorithms for fair load shedding in developing countries

O Oluwasuji, O Malik, J Zhang, S Ramchurn - 2018 - eprints.soton.ac.uk
Due to the limited generation capacity of power stations, many developing countries
frequently resort to disconnecting large parts of the power grid from supply, a process …

Appliance usage prediction for the smart home with an application to energy demand side management-and why accuracy is not a good performance metric for this …

M Wenninger, J Schmidt, T Goeller - … on Smart Cities and Green ICT …, 2017 - scitepress.org
Shifting energy peak load is a subject that plays a huge role in the currently changing
energy market, where renewable energy sources no longer produce the exact amount of …

Gestion multi-agents des smart grids intégrant un système de stockage: cas résidentiel

J Klaimi - 2017 - theses.hal.science
Cette thèse s' intéresse à la gestion décentralisée à l'aide des systèmes multi-agents de
l'énergie, notamment de sources renouvelables, dans le contexte des réseaux électriques …

Demand Response Management Using Machine Learning Methods

M Wenninger - 2024 - search.proquest.com
The worldwide transformation of electricity production from fossil and nuclear energy
sources to renewable energy sources is accompanied by many challenges. One of those …

Computational methods for predicting human behaviour in smart environments

R Dunne, O Matthews, J Vega… - Journal of Ambient …, 2023 - content.iospress.com
This systematic literature review presents the computational methods of human behaviour
prediction research from Pentland and Liu's seminal 1999 paper on human behaviour …

A distributed multilabel classification approach towards mining appliance usage in smart homes

S Roy, K Mishra, U Maulik… - 2017 IEEE Calcutta …, 2017 - ieeexplore.ieee.org
Demand side management of Energy in smart buildings often needs as a prerequisite (or
benefits from) future appliance usage schedules of the occupants. In this work, a datadriven …

[PDF][PDF] Demand Response Management Using Machine Learning Methods Lastverschiebung mit Hilfe von maschinellen Lernverfahren

M Wenninger - wenninger.it
Zusammenfassung Das Ziel, den weltweiten Strombedarf durch erneuerbare Energien wie
Wind, Solar und Wasser zu decken birgt viele Herausforderungen. Eine dieser …