[HTML][HTML] The role of energy storage in deep decarbonization of electricity production
Deep decarbonization of electricity production is a societal challenge that can be achieved
with high penetrations of variable renewable energy. We investigate the potential of energy …
with high penetrations of variable renewable energy. We investigate the potential of energy …
Real-time stochastic optimization of energy storage management using deep learning-based forecasts for residential PV applications
F Hafiz, MA Awal, AR de Queiroz… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A computationally proficient real-time energy management method with stochastic
optimization is presented for a residential photovoltaic (PV)-storage hybrid system …
optimization is presented for a residential photovoltaic (PV)-storage hybrid system …
An optimal solutions-guided deep reinforcement learning approach for online energy storage control
As renewable energy becomes more prevalent in the power grid, energy storage systems
(ESSs) are playing an ever-increasingly crucial role in mitigating short-term supply–demand …
(ESSs) are playing an ever-increasingly crucial role in mitigating short-term supply–demand …
Peer-to-peer energy sharing: Effective cost-sharing mechanisms and social efficiency
P2P (peer-to-peer) energy sharing allows household users to share their local energy
resources (eg, rooftop PVs, home batteries) based on an agreed cost-sharing mechanism …
resources (eg, rooftop PVs, home batteries) based on an agreed cost-sharing mechanism …
Peak-aware online economic dispatching for microgrids
Y Zhang, MH Hajiesmaili, M Chen - Proceedings of the 2015 ACM Sixth …, 2015 - dl.acm.org
By employing local renewable energy sources and power generation units while connected
to the central grid, microgrid can usher in great benefits in terms of cost efficiency, power …
to the central grid, microgrid can usher in great benefits in terms of cost efficiency, power …
[HTML][HTML] Optimal energy management for microgrids with combined heat and power (CHP) generation, energy storages, and renewable energy sources
This paper studies an energy management problem for a typical grid-connected microgrid
system that consists of renewable energy sources, Combined Heat and Power (CHP) co …
system that consists of renewable energy sources, Combined Heat and Power (CHP) co …
Optimal online algorithms for peak-demand reduction maximization with energy storage
We consider an emerging scenario where large-load customers employ energy storage (eg,
fuel cells) to reduce the peak procurement from the grid, which accounts for up to 90% of …
fuel cells) to reduce the peak procurement from the grid, which accounts for up to 90% of …
Parallel statistical model checking for safety verification in smart grids
By using small computing devices deployed at user premises, Autonomous Demand
Response (ADR) adapts users electricity consumption to given time-dependent electricity …
Response (ADR) adapts users electricity consumption to given time-dependent electricity …
Learning-aided framework for storage control facing renewable energy
The Internet of Things (IoT) enables reliable and fast data collection and transmission,
providing key infrastructure for power generation, distribution, and control in the smart grid …
providing key infrastructure for power generation, distribution, and control in the smart grid …
Reusing backup batteries as bess for power demand reshaping in 5g and beyond
The mobile network operators are upgrading their network facilities and shifting to the 5G
era at an unprecedented pace. The huge operating expense (OPEX), mainly the energy …
era at an unprecedented pace. The huge operating expense (OPEX), mainly the energy …