Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Data-driven based HVAC optimisation approaches: A Systematic Literature Review
Improving the energy efficiency of Heating, Ventilation, and Air Conditioning (HVAC)
systems is crucial to reduce buildings' energy costs and their carbon footprint. HVAC …
systems is crucial to reduce buildings' energy costs and their carbon footprint. HVAC …
Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning
In this chapter, a novel data-driven method, which is called the deep deterministic policy
gradient (DDPG), is applied for optimally controlling the multi-zone residential heating …
gradient (DDPG), is applied for optimally controlling the multi-zone residential heating …
[HTML][HTML] Reinforcement learning for whole-building HVAC control and demand response
This paper proposes a novel reinforcement learning (RL) architecture for the efficient
scheduling and control of the heating, ventilation and air conditioning (HVAC) system in a …
scheduling and control of the heating, ventilation and air conditioning (HVAC) system in a …
A home energy management system with an integrated smart thermostat for demand response in smart grids
Smart thermostats and home energy management systems (HEMSs) are generally studied
separately. However, their joint use can provide a greater benefit. Therefore, this study …
separately. However, their joint use can provide a greater benefit. Therefore, this study …
Optimal integration of a hybrid solar-battery power source into smart home nanogrid with plug-in electric vehicle
X Wu, X Hu, Y Teng, S Qian, R Cheng - Journal of power sources, 2017 - Elsevier
Hybrid solar-battery power source is essential in the nexus of plug-in electric vehicle (PEV),
renewables, and smart building. This paper devises an optimization framework for efficient …
renewables, and smart building. This paper devises an optimization framework for efficient …
Optimal energy management system for microgrids considering energy storage, demand response and renewable power generation
To ensure the autonomous power supply in microgrids (MGs) in stand-alone mode while
also maintaining stability, energy storage systems (ESSs) and demand-side flexibility can be …
also maintaining stability, energy storage systems (ESSs) and demand-side flexibility can be …
Duck-curve mitigation in power grids with high penetration of PV generation
I Calero, CA Canizares… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Small-scale PV generation has become popular with residential customers in several
jurisdictions with high solar radiation, as an alternative to improve their carbon footprint and …
jurisdictions with high solar radiation, as an alternative to improve their carbon footprint and …
Deep reinforcement learning for demand response in distribution networks
Load aggregators can use demand response programs to motivate residential users toward
reducing electricity demand during peak time periods. This article proposes a demand …
reducing electricity demand during peak time periods. This article proposes a demand …
Flexibility of grid interactive water heaters: The situation in the US
Among different solutions to increase flexibility of electricity system, grid interactive water
heaters (GIWHs) can make a large contribution, against a relatively low cost. They can …
heaters (GIWHs) can make a large contribution, against a relatively low cost. They can …
Reinforcement learning-based pricing and incentive strategy for demand response in smart grids
EJ Salazar, M Jurado, ME Samper - Energies, 2023 - mdpi.com
International agreements support the modernization of electricity networks and renewable
energy resources (RES). However, these RES affect market prices due to resource …
energy resources (RES). However, these RES affect market prices due to resource …