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Review of energy system flexibility measures to enable high levels of variable renewable electricity
PD Lund, J Lindgren, J Mikkola, J Salpakari - Renewable and sustainable …, 2015 - Elsevier
The paper reviews different approaches, technologies, and strategies to manage large-scale
schemes of variable renewable electricity such as solar and wind power. We consider both …
schemes of variable renewable electricity such as solar and wind power. We consider both …
Business models for distributed energy resources: A review and empirical analysis
This paper presents a novel, empirical analysis of the most common business models for the
deployment of demand response and energy management systems, electricity and thermal …
deployment of demand response and energy management systems, electricity and thermal …
Aggregate flexibility of thermostatically controlled loads
It is widely accepted that thermostatically controlled loads (TCLs) can be used to provide
regulation reserve to the grid. We first argue that the aggregate flexibility offered by a …
regulation reserve to the grid. We first argue that the aggregate flexibility offered by a …
A deep learning and gamification approach to improving human-building interaction and energy efficiency in smart infrastructure
In this paper, we propose a gamification approach as a novel framework for smart building
infrastructure with the goal of motivating human occupants to consider personal energy …
infrastructure with the goal of motivating human occupants to consider personal energy …
Estimating the profile of incentive-based demand response (IBDR) by integrating technical models and social-behavioral factors
Demand response (DR) has been widely recognized as an important approach to balance
the power grid and reduce peak load of power systems. In order to better estimate the …
the power grid and reduce peak load of power systems. In order to better estimate the …
Arbitraging intraday wholesale energy market prices with aggregations of thermostatic loads
We investigate the potential for aggregations of residential thermostatically controlled loads
(TCLs), such as air conditioners, to arbitrage intraday wholesale electricity market prices via …
(TCLs), such as air conditioners, to arbitrage intraday wholesale electricity market prices via …
Convolutional neural networks for automatic state-time feature extraction in reinforcement learning applied to residential load control
Direct load control of a heterogeneous cluster of residential demand flexibility sources is a
high-dimensional control problem with partial observability. This paper proposes a novel …
high-dimensional control problem with partial observability. This paper proposes a novel …
A bi-level scheduling model for virtual power plants with aggregated thermostatically controlled loads and renewable energy
With the penetration of renewable energy increasing, the power system requires higher
flexibility of power regulation. Virtual power plants can aggregate distributed flexible loads to …
flexibility of power regulation. Virtual power plants can aggregate distributed flexible loads to …
Smart home energy management including renewable sources: A QoE-driven approach
Smart home energy management (SHEM) systems can introduce adjustments in the working
period and operations of home appliances to allow for energy cost savings, which can …
period and operations of home appliances to allow for energy cost savings, which can …
Thermostatic load control for system frequency regulation considering daily demand profile and progressive recovery
Large-scale wind and solar power integration are likely to cause a short-term mismatch
between generation and load demand because of the intermittent nature of the renewables …
between generation and load demand because of the intermittent nature of the renewables …