[HTML][HTML] Demand flexibility of residential buildings: definitions, flexible loads, and quantification methods
This paper reviews recent research on the demand flexibility of residential buildings in
regard to definitions, flexible loads, and quantification methods. A systematic distinction of …
regard to definitions, flexible loads, and quantification methods. A systematic distinction of …
A cyber–physical–social perspective on future smart distribution systems
An increasing number of distributed energy resources (DERs), such as rooftop photovoltaic
(PV), electric vehicles (EVs), and distributed energy storage, are being integrated into the …
(PV), electric vehicles (EVs), and distributed energy storage, are being integrated into the …
Quantitive analysis of electric vehicle flexibility: A data-driven approach
The electric vehicle (EV) flexibility, indicates to what extent the charging load can be
coordinated (ie, to flatten the load curve or to utilize renewable energy resources). However …
coordinated (ie, to flatten the load curve or to utilize renewable energy resources). However …
Definition and evaluation of model-free coordination of electrical vehicle charging with reinforcement learning
N Sadeghianpourhamami, J Deleu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Demand response (DR) becomes critical to manage the charging load of a growing electric
vehicle (EV) deployment. Initial DR studies mainly adopt model predictive control, but …
vehicle (EV) deployment. Initial DR studies mainly adopt model predictive control, but …
A two-level energy management strategy for multi-microgrid systems with interval prediction and reinforcement learning
Setting retail electricity prices is one of the significant strategies for energy management of
multi-microgrid (MMG) systems integrated with renewable energy. Nevertheless, the need of …
multi-microgrid (MMG) systems integrated with renewable energy. Nevertheless, the need of …
Feasibility of 100% renewable energy-based electricity production for cities with storage and flexibility
Renewable energy is expected to constitute a significant proportion of electricity production.
Further, the global population is increasingly concentrated in cities. We investigate whether …
Further, the global population is increasingly concentrated in cities. We investigate whether …
[HTML][HTML] Multi-time scale energy management framework for smart PV systems mixing fast and slow dynamics
We propose a multi-time scale energy management framework for a smart photovoltaic (PV)
system that can calculate optimized schedules for battery operation, power purchases, and …
system that can calculate optimized schedules for battery operation, power purchases, and …
Households' hourly electricity consumption and peak demand in Denmark
The electrification of residential energy demand for heating and transportation is expected to
increase peak load and require additional generation and transmission capacities …
increase peak load and require additional generation and transmission capacities …
Duck curve aware dynamic pricing and battery scheduling strategy using reinforcement learning
The duck curve is becoming a global problem in energy technology due to the rapid
increase in solar power adoption and the rise of prosumers. To address this issue, a …
increase in solar power adoption and the rise of prosumers. To address this issue, a …
Innovative data-driven energy services and business models in the domestic building sector
J Aranda, T Tsitsanis, G Georgopoulos, JM Longares - Sustainability, 2023 - mdpi.com
The market of energy services for the residential sector in Europe is very limited at present.
Various reasons can be argued such as the high transaction costs in a highly fragmented …
Various reasons can be argued such as the high transaction costs in a highly fragmented …