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 …

Business models for distributed energy resources: A review and empirical analysis

SP Burger, M Luke - Energy Policy, 2017 - Elsevier
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 …

Aggregate flexibility of thermostatically controlled loads

H Hao, BM Sanandaji, K Poolla… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
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 …

A deep learning and gamification approach to improving human-building interaction and energy efficiency in smart infrastructure

IC Konstantakopoulos, AR Barkan, S He, T Veeravalli… - Applied energy, 2019 - Elsevier
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 …

Estimating the profile of incentive-based demand response (IBDR) by integrating technical models and social-behavioral factors

Q Shi, CF Chen, A Mammoli, F Li - IEEE Transactions on Smart …, 2019 - ieeexplore.ieee.org
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 …

Arbitraging intraday wholesale energy market prices with aggregations of thermostatic loads

JL Mathieu, M Kamgarpour, J Lygeros… - … on Power Systems, 2014 - ieeexplore.ieee.org
We investigate the potential for aggregations of residential thermostatically controlled loads
(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

BJ Claessens, P Vrancx… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
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 …

A bi-level scheduling model for virtual power plants with aggregated thermostatically controlled loads and renewable energy

C Wei, J Xu, S Liao, Y Sun, Y Jiang, D Ke, Z Zhang… - Applied Energy, 2018 - Elsevier
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 …

Smart home energy management including renewable sources: A QoE-driven approach

V Pilloni, A Floris, A Meloni… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
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 …

Thermostatic load control for system frequency regulation considering daily demand profile and progressive recovery

Q Shi, F Li, G Liu, D Shi, Z Yi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …