Smart and intelligent energy monitoring systems: A comprehensive literature survey and future research guidelines
Computationally intelligent energy forecasting methods for appropriate energy management
at the consumer/producer side have a positive impact on the preservation of energy and …
at the consumer/producer side have a positive impact on the preservation of energy and …
How smart metering and smart charging may help a local energy community in collective self-consumption in presence of electric vehicles
The 2018/2001/EU renewable energy directive (RED II) underlined the strategic role of
energy communities in the EU transition process towards sustainable and renewable …
energy communities in the EU transition process towards sustainable and renewable …
Battery optimal approach to demand charge reduction in behind-the-meter energy management systems
Large monthly demand charge of commercial and industrial entities is a major problem for
their economical business. Utilizing a battery by behind-the-meter Energy Management …
their economical business. Utilizing a battery by behind-the-meter Energy Management …
Battery degradation temporal modeling using lstm networks
Accurate modeling of battery capacity degradation is an important component for both
battery manufacturers and energy management systems. In this paper, we develop a battery …
battery manufacturers and energy management systems. In this paper, we develop a battery …
Aggregation of BTM battery storages to provide ancillary services in wholesale electricity markets
The behind the meter battery energy storage systems (BTM-BESSs) have been deployed
widely by indus-trial/commercial buildings to manage electricity transaction with utilities in …
widely by indus-trial/commercial buildings to manage electricity transaction with utilities in …
Demand charge and response with energy storage
K Nakayama, R Sharma - 2018 IEEE International Conference …, 2018 - ieeexplore.ieee.org
Commercial and industry (C& I) customers incur two types of electricity charges on their bills:
one for the amount of energy usage and another one for the maximum demand during …
one for the amount of energy usage and another one for the maximum demand during …
Annual Evaluation of Supply-Demand with BESS Charging/Discharging Schedule and UC Updating Based on Intraday Forecasted PV Power Outputs
T Masuta, D Kobayashi, NHH Viet… - 2018 Power Systems …, 2018 - ieeexplore.ieee.org
In recent years, photovoltaic (PV) systems have been installed in Japan at an accelerated
rate. The application of PV generation forecasts and the utilization of energy storage devices …
rate. The application of PV generation forecasts and the utilization of energy storage devices …
Conditioning neural networks: A case study of electricity load forecasting
Machine learning tasks typically involve minimizing a loss function that measures the
distance of the model output and the ground-truth. In some applications, in addition to the …
distance of the model output and the ground-truth. In some applications, in addition to the …
Demand charge minimization in behind-the-meter energy management systems
Abstract Systems and methods for controlling behind-the meter energy storage/management
systems (EMSs) for battery-optimized demand charge minimized operations, including …
systems (EMSs) for battery-optimized demand charge minimized operations, including …
A behind-the-meter battery control algorithm with the consideration of Li-ion battery degradation
A behind-the-meter energy storage system can be utilized to mitigate the impact of
renewable generation and to improve the monetary benefit to the owner. However, different …
renewable generation and to improve the monetary benefit to the owner. However, different …