A review of domestic hot water consumption profiles for application in systems and buildings energy performance analysis
E Fuentes, L Arce, J Salom - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Domestic hot water usage (DHW) accounts for a significant share of energy consumption in
different types of buildings. Achieving a detailed characterization of domestic hot water …
different types of buildings. Achieving a detailed characterization of domestic hot water …
A comprehensive review of residential electricity load profile models
E Proedrou - IEEE Access, 2021 - ieeexplore.ieee.org
A third of the final electricity in the EU is consumed by households. The increased usage of
multiple electrical devices, electromobility, self-generation and consumption of electricity as …
multiple electrical devices, electromobility, self-generation and consumption of electricity as …
Decentralized P2P energy trading under network constraints in a low-voltage network
J Guerrero, AC Chapman… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The increasing uptake of distributed energy resources in distribution systems and the rapid
advance of technology have established new scenarios in the operation of low-voltage …
advance of technology have established new scenarios in the operation of low-voltage …
[HTML][HTML] Peer-to-Peer energy trading in a Microgrid
Abstract Peer-to-Peer (P2P) energy trading represents direct energy trading between peers,
where energy from small-scale Distributed Energy Resources (DERs) in dwellings, offices …
where energy from small-scale Distributed Energy Resources (DERs) in dwellings, offices …
Dynamic energy dispatch strategy for integrated energy system based on improved deep reinforcement learning
Dynamic energy dispatch is an integral part of the operation optimization of integrated
energy systems (IESs). Most existing dynamic dispatch schemes depend heavily on explicit …
energy systems (IESs). Most existing dynamic dispatch schemes depend heavily on explicit …
[HTML][HTML] Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework
Abstract Peer-to-peer (P2P) energy sharing involves novel technologies and business
models at the demand-side of power systems, which is able to manage the increasing …
models at the demand-side of power systems, which is able to manage the increasing …
Short-term residential load forecasting: Impact of calendar effects and forecast granularity
Literature is rich in methodologies for “aggregated” load forecasting which has helped
electricity network operators and retailers in optimal planning and scheduling. The recent …
electricity network operators and retailers in optimal planning and scheduling. The recent …
Multi-objective techno-economic-environmental optimisation of electric vehicle for energy services
Electric vehicles and renewable energy sources are collectively being developed as a
synergetic implementation for smart grids. In this context, smart charging of electric vehicles …
synergetic implementation for smart grids. In this context, smart charging of electric vehicles …
[HTML][HTML] Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community
As an innovative paradigm for electric power systems with a high penetration of distributed
energy resources, peer-to-peer (P2P) energy trading enables direct energy trading between …
energy resources, peer-to-peer (P2P) energy trading enables direct energy trading between …
A review of uncertainty characterisation approaches for the optimal design of distributed energy systems
Energy models are valuable tools that are commonly employed for the optimal design of
distributed energy systems (DES). However, the model-based design process of DES can …
distributed energy systems (DES). However, the model-based design process of DES can …