[HTML][HTML] A reinforcement learning approach to home energy management for modulating heat pumps and photovoltaic systems

L Langer, T Volling - Applied Energy, 2022 - Elsevier
Buildings are one of the main drivers of global energy consumption and CO 2 emissions.
Efficient energy management systems will have to integrate renewable energy sources with …

[HTML][HTML] An occupant-centric control framework for balancing comfort, energy use and hygiene in hot water systems: A model-free reinforcement learning approach

A Heidari, F Maréchal, D Khovalyg - Applied Energy, 2022 - Elsevier
Occupants' behavior is a major source of uncertainty for the optimal operation of building
energy systems. The highly stochastic hot water use behavior of occupants has led to …

Non-invasive load monitoring based on deep learning to identify unknown loads

A Su, Z Du, B Yin - Plos one, 2024 - journals.plos.org
With the rapid development of smart grids, society has become increasingly urgent to solve
the problems of low energy utilization efficiency and high energy consumption. In this …

Classification Machine Learning Applications for Energy Management Systems in Distribution Systems to Diminish CO2 Emissions

JR Lopez, P Ponce, A Molina - What AI Can Do: Strengths and …, 2023 - api.taylorfrancis.com
It is known that the increment of greenhouse gas emissions is one of the main factors behind
the global warming phenomenon. Global warming is a heavy influence to abnormal …

[PDF][PDF] Case study of Aran Islands: Optimal demand response control of heat pumps and appliances

M Jelic, D Pujic, N Tomasevic, P Lissa… - … , best practices, case …, 2022 - project-sinergy.org
Demand response has proven to be a crucial mechanism in the process of flexibility
exploitation on the demand side. Throughout the years, it has evolved and expanded …

[PDF][PDF] Energy and AI

JM Specht, R Madlener - d-nb.info
This study utilizes machine learning and, more specifically, reinforcement learning (RL) to
allow for an optimized, real-time operation of large numbers of decentral flexible assets on …

[PDF][PDF] Energy and AI

J Berrisch, M Narajewski, F Ziel - researchgate.net
This paper covers predicting high-resolution electricity peak demand features given lower-
resolution data. This is a relevant setup as it answers whether limited higher-resolution …

[PDF][PDF] Energy and AI

T Andersen - portal.research.lu.se
Considering recent developments in the energy sector, further reduction of electricity cost
and flattening of the electric power demand curve are needed. We have focused on an …