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Paper Citation Record · LEDGER

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings

As of 22 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2606.02049.

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2606.02049 v1

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66 of 66 outbound references displayed

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Outbound references

Observation fd29d99a-4398-4d39-ab0b-93a8adf610ba · outbound

This paper cites Role of opti- mization techniques in microgrid energy management systems—a review.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Role of opti- mization techniques in microgrid energy management systems—a review

Reference 1

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Observation b7ebd917-8898-49dd-9275-44ebdc7e9c57 · outbound

This paper cites Explainable reinforcement learning for optimizing electricity costs in building energy management.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Explainable reinforcement learning for optimizing electricity costs in building energy management

Reference 2

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This paper cites Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm.International Journal of Electrical Power & Energy Systems, 152:109230, 2023.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm.International Journal of Electrical Power & Energy Systems, 152:109230, 2023

Reference 3

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This paper cites https://www.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings https://www

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Observation 7ef7d8cc-a98e-4399-a364-b8b05d469da6 · outbound

This paper cites Theory and applications of hvac control systems – a review of model predictive control (mpc).Building and Environment, 72:343–355, 2014.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Theory and applications of hvac control systems – a review of model predictive control (mpc).Building and Environment, 72:343–355, 2014

Reference 5

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Observation 38f03093-cd1b-4adb-ad5b-eb9b548dfa98 · outbound

This paper cites Ten questions concerning model pre- dictive control for energy efficient buildings.Building and Environment, 105:403–412, 2016.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Ten questions concerning model pre- dictive control for energy efficient buildings.Building and Environment, 105:403–412, 2016

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Observation 82ee1a99-6dbe-45b5-9cf8-eed37ddca112 · outbound

This paper cites Predic- tive control for energy efficient buildings with thermal storage: Modeling, simulation, and experiments.IEEE Control Systems Magazine, 32(1):44– 64, 2012.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Predic- tive control for energy efficient buildings with thermal storage: Modeling, simulation, and experiments.IEEE Control Systems Magazine, 32(1):44– 64, 2012

Reference 7

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Observation ea23b54e-e81c-494f-838f-c10840e38446 · outbound

This paper cites All you need to know about model predictive control for buildings.Annual Reviews in Control, 50:190–232, 2020.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings All you need to know about model predictive control for buildings.Annual Reviews in Control, 50:190–232, 2020

Reference 8

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Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Unresolved cited work

Reference 9

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Observation 7eeb3887-97f7-47c1-b0b3-73d905b41a46 · outbound

This paper cites Importance of occupancy information for building climate control.Applied Energy, 101:521–532, 2013.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Importance of occupancy information for building climate control.Applied Energy, 101:521–532, 2013

Reference 10

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Observation 343b4477-5f55-4463-87f0-40e27bf585d3 · outbound

This paper cites A coordinated model predic- tive control approach for building energy management considering real- time electricity prices.Energy, 164:792–802, 2018.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings A coordinated model predic- tive control approach for building energy management considering real- time electricity prices.Energy, 164:792–802, 2018

Reference 11

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Observation 477d8c8c-17ec-401b-aa3b-7aafcc01e34e · outbound

This paper cites A review of reinforcement learning for energy management in smart buildings.Energy and AI, 10:100204, 2022.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings A review of reinforcement learning for energy management in smart buildings.Energy and AI, 10:100204, 2022

Reference 12

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Observation 69dc97d9-f2cf-4df1-987b-a157ae7b5da5 · outbound

This paper cites Deep reinforcement learning for building hvac control: Review and chal- lenges.Energy and Buildings, 240:110886, 2021.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Deep reinforcement learning for building hvac control: Review and chal- lenges.Energy and Buildings, 240:110886, 2021

Reference 13

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Observation 6ce2b7ae-6e95-4cf2-92ef-40f859fd574d · outbound

This paper cites Norford, and Ali M.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Norford, and Ali M

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Observation 1798d096-0159-4d4e-b529-e501bc6dbf44 · outbound

This paper cites A reinforcement learning approach for optimal control of building hvac systems under partial ob- servability.Energy and Buildings, 223:110135, 2020.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings A reinforcement learning approach for optimal control of building hvac systems under partial ob- servability.Energy and Buildings, 223:110135, 2020

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Observation fa632db7-9314-416f-8b9d-d9f758f4b082 · outbound

This paper cites Model-free control of building energy systems using deep reinforcement learning: Recent progress and future prospects.Energy and Buildings, 285:112885, 2023.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Model-free control of building energy systems using deep reinforcement learning: Recent progress and future prospects.Energy and Buildings, 285:112885, 2023

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This paper cites Multi-objective reinforcement learning with shielding for control and safety in power grids.ACM SIGEnergy Energy Informatics Review, 5(3):93–104, 2025.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Multi-objective reinforcement learning with shielding for control and safety in power grids.ACM SIGEnergy Energy Informatics Review, 5(3):93–104, 2025

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Observation 9c237c3a-18b0-4d26-99b7-05fdc40a99f5 · outbound

This paper cites Feasibility of low-cost energy management system using embedded opti- mization for pv and battery storage assisted residential buildings.Energy, 271:126922, 2023.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Feasibility of low-cost energy management system using embedded opti- mization for pv and battery storage assisted residential buildings.Energy, 271:126922, 2023

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Observation 07169e79-9249-49fa-8e0e-343b7decbdf0 · outbound

This paper cites A re- view on optimal energy management in commercial buildings.Energies, 16(4):1609, 2023.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings A re- view on optimal energy management in commercial buildings.Energies, 16(4):1609, 2023

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This paper cites Internet of things applications for energy management in buildings using artificial intelligence—a case study.Energies, 18(7):1706, 2025.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Internet of things applications for energy management in buildings using artificial intelligence—a case study.Energies, 18(7):1706, 2025

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Observation e497d4e6-f6ef-4b23-b367-c31b0123ba09 · outbound

This paper cites Explaining reinforcement learning with shapley values.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Explaining reinforcement learning with shapley values

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This paper cites Artificial intelligence and machine learning in energy systems: A biblio- graphic perspective.Energy Strategy Reviews, 45:101017, 2023.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Artificial intelligence and machine learning in energy systems: A biblio- graphic perspective.Energy Strategy Reviews, 45:101017, 2023

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This paper cites Machine learning and deep learning in energy systems: A review.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Machine learning and deep learning in energy systems: A review

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This paper cites Net zero by 2050: A roadmap for the global energy sector.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Net zero by 2050: A roadmap for the global energy sector

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Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Unresolved cited work

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Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Energy efficiency in buildings 2023

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This paper cites A comprehensive review of building energy management systems: Current status and future directions.Energy and Buildings, 290:113053, 2023.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings A comprehensive review of building energy management systems: Current status and future directions.Energy and Buildings, 290:113053, 2023

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This paper cites Ai-driven innovations in building energy management systems: A review of potential applications and energy savings.Energies, 17(17), 2024.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Ai-driven innovations in building energy management systems: A review of potential applications and energy savings.Energies, 17(17), 2024

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This paper cites Reinforcement learning and its applications in modern power and energy systems: A review.Journal of modern power systems and clean energy, 8(6):1029–1042, 2020.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Reinforcement learning and its applications in modern power and energy systems: A review.Journal of modern power systems and clean energy, 8(6):1029–1042, 2020

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This paper cites Advanced Deep Reinforcement Learning for Heat Pump Control in Residential Buildings.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Advanced Deep Reinforcement Learning for Heat Pump Control in Residential Buildings

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This paper cites Optimization of the operation and maintenance of renewable energy systems by deep reinforcement learning.Renewable Energy, 183:752–763, 2022.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Optimization of the operation and maintenance of renewable energy systems by deep reinforcement learning.Renewable Energy, 183:752–763, 2022

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This paper cites Deep reinforcement learning for power system applications: An overview.CSEE Journal of Power and Energy Systems, 6(1):213–225, 2019.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Deep reinforcement learning for power system applications: An overview.CSEE Journal of Power and Energy Systems, 6(1):213–225, 2019

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Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Occupant-oriented economic model predictive control for demand response in buildings

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Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Çakmak, Jörg Matthes, and V eit Hagenmeyer

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This paper cites A generalizable reinforcement learning framework for hvac control using real-world data.Energy and Buildings, 305:113941, 2024.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings A generalizable reinforcement learning framework for hvac control using real-world data.Energy and Buildings, 305:113941, 2024

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Observation 5b12160f-7575-4634-907c-e32c2d113024 · outbound

This paper cites Optimization strategy based on deep reinforcement learning for home energy management.CSEE Journal of Power and Energy Systems, 6(3):572–582, 2020.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Optimization strategy based on deep reinforcement learning for home energy management.CSEE Journal of Power and Energy Systems, 6(3):572–582, 2020

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Observation eb4041b2-d827-4cc6-bfdd-9517e13b2d38 · outbound

This paper cites Comparison of reinforcement learning and model predictive control for building energy system optimization.Applied Thermal Engineering, 228:120430, 2023.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Comparison of reinforcement learning and model predictive control for building energy system optimization.Applied Thermal Engineering, 228:120430, 2023

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Observation 51513872-8e43-4ef5-9f4d-694c53507af4 · outbound

This paper cites Rl4rs: A real- world dataset for reinforcement learning based recommender system.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Rl4rs: A real- world dataset for reinforcement learning based recommender system

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Observation 80b41222-c5e2-4525-9307-8323ca216930 · outbound

This paper cites A review of deep reinforcement learning for smart building energy management.IEEE Internet of Things Journal, 8(15):12046–12063, 2021.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings A review of deep reinforcement learning for smart building energy management.IEEE Internet of Things Journal, 8(15):12046–12063, 2021

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Observation 974007bf-a52c-4379-99e2-da5cdf78fd8c · outbound

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Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Energyplus™, 09 2017

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Observation 16546dbf-97ca-4414-a64b-1d8565ffcfe2 · outbound

This paper cites Reviewing the Need for Explainable Artificial Intelligence (xAI).

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Reviewing the Need for Explainable Artificial Intelligence (xAI)

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Observation bb9afd8d-41b0-41f6-aa81-1f973533c871 · outbound

This paper cites Toward ex- plainable and interpretable building energy modelling: An explainable VOLUME 00, 0000 13 Preprint submitted to IEEE Access artificial intelligence approach.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Toward ex- plainable and interpretable building energy modelling: An explainable VOLUME 00, 0000 13 Preprint submitted to IEEE Access artificial intelligence approach

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Observation 04b0ba81-d574-42dd-8199-1b10cb17a6ee · outbound

This paper cites An interpretable machine learning model for daily global solar radiation prediction.Energies, 14(21), 2021.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings An interpretable machine learning model for daily global solar radiation prediction.Energies, 14(21), 2021

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Observation a4b9458d-2e9c-45cb-a12f-31f93b2c3860 · outbound

This paper cites Ex- plainable AI (XAI) techniques for energy and power systems: Review, challenges, and future directions.Energy and AI, 9:100169, 2022.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Ex- plainable AI (XAI) techniques for energy and power systems: Review, challenges, and future directions.Energy and AI, 9:100169, 2022

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Observation 98c18fcf-d01a-4afd-bc4b-ebf2042d2669 · outbound

This paper cites Explainable long-term building energy consumption prediction using qlattice.Applied Energy, 308:118300, 2022.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Explainable long-term building energy consumption prediction using qlattice.Applied Energy, 308:118300, 2022

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Observation 24a177de-722c-4b21-bb75-6a53764dbecc · outbound

This paper cites Explainable reinforcement learning: A survey.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Explainable reinforcement learning: A survey

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Observation 5de38189-cbfb-48ee-966b-b57d553c4127 · outbound

This paper cites Explain- able ai framework for reliable and transparent automated energy manage- ment in buildings.Energy and Buildings, 347:116246, 2025.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Explain- able ai framework for reliable and transparent automated energy manage- ment in buildings.Energy and Buildings, 347:116246, 2025

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Observation 8bfe835b-6ca8-409e-bddc-d326f6cf8cc4 · outbound

This paper cites https://www.iai.kit.edu/english/RPE-LLEC.php.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings https://www.iai.kit.edu/english/RPE-LLEC.php

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Observation bfaa3fce-ac9d-4060-9b20-7f39b34c55bd · outbound

This paper cites Electricity market transparency.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Electricity market transparency

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Observation 76b212e8-efa6-467f-b64d-dc0be09eac82 · outbound

This paper cites Hyndman and George Athanasopoulos.F orecasting: Principles and Practice.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Hyndman and George Athanasopoulos.F orecasting: Principles and Practice

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Observation 91517f8c-d692-46b0-85b9-0d8962c3f6f7 · outbound

This paper cites Long short-term memory.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Long short-term memory

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Observation adeace2b-582d-4e72-80b1-3bfa85fffee5 · outbound

This paper cites Rusu, Joel V eness, Marc G.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Rusu, Joel V eness, Marc G

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Observation 6b8cbd11-f411-46cd-9211-dfcdb1f39a7d · outbound

This paper cites Proximal policy optimization algorithms.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Proximal policy optimization algorithms

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Observation 3f513f37-f200-4a8f-b88d-7a035e51cc56 · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Asynchronous methods for deep reinforcement learning

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Observation e2adccd9-b7e7-4473-88da-39cf0fb05dab · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

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Observation 12e03383-6522-4204-8555-56ed40e183a3 · outbound

This paper cites Addressing function approximation error in actor-critic methods.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Addressing function approximation error in actor-critic methods

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Observation 333b773b-29db-4044-8fd8-c7242a3b8b33 · outbound

This paper cites Continuous control with deep reinforcement learning.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Continuous control with deep reinforcement learning

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Observation 69b08150-5d87-4b1a-af13-fe498cc577dd · outbound

This paper cites Optuna: A next-generation hyperparameter optimiza- tion framework.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Optuna: A next-generation hyperparameter optimiza- tion framework

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Observation a5bb3cae-fa00-4e2e-a0a7-009ebd3d15ea · outbound

This paper cites Computing Resources – HAICORE.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Computing Resources – HAICORE

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Observation ed8c41aa-866c-417c-bc13-fa8b2a6da2bf · outbound

This paper cites Lundberg and Su-In Lee.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Lundberg and Su-In Lee

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Observation ffaf1e2c-515b-4ec8-96e1-28b64b8e934e · outbound

This paper cites Craven and Jude W.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Craven and Jude W

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Observation ca8f7977-1004-49ea-bcc0-f96369c494d6 · outbound

This paper cites A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C

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Observation 689f3562-ab52-452f-a0da-3dcedfb0064a · outbound

This paper cites Artificial Intelligence Ac, 2024.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Artificial Intelligence Ac, 2024

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Observation 23ddf75b-7572-452e-be9c-ec60eda58b84 · outbound

This paper cites Department of Homeland Security.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Department of Homeland Security

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Observation c72e149d-559e-4985-a022-290f7725e5fd · outbound

This paper cites Learning to run a power network chal- lenge: a retrospective analysis, 2021.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings Learning to run a power network chal- lenge: a retrospective analysis, 2021

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Observation fd523535-57ca-4283-b75b-b1cd71dbde9e · outbound

This paper cites ERFAN TAJALLI-ARDEKANIreceived the B.Sc.

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings ERFAN TAJALLI-ARDEKANIreceived the B.Sc

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