Energy consumption and grid interaction analysis of electric vehicles based on particle swarm optimisation method
K Deželak, K Sredenšek, S Seme - Energies, 2023 - mdpi.com
The widespread adoption of electric vehicles poses certain challenges to the distribution
grid, which refers to the network of power lines, transformers, and other infrastructure that …
grid, which refers to the network of power lines, transformers, and other infrastructure that …
Facilitating higher photovoltaic penetration in residential distribution networks using demand side management and active voltage control
G Pillai, M Allison, TP Tun… - Engineering …, 2021 - Wiley Online Library
Future power networks are certain to have high penetrations of renewable distributed
generation such as photovoltaics (PV). At times of high PV generation and low customer …
generation such as photovoltaics (PV). At times of high PV generation and low customer …
[PDF][PDF] Appliance scheduling for optimal load management in smart home integrated with renewable energy by using whale optimization algorithm
H Swalehe, PV Chombo… - GMSARN International …, 2018 - gmsarnjournal.com
One of the essential factor for the better operation of an electrical power system is load
demand. Normally, higher load demand leads to instability and insufficient power supply. To …
demand. Normally, higher load demand leads to instability and insufficient power supply. To …
Analysis of Electrical Loads and Strategies for Increasing Self-Consumption with BIPV Case study: Skarpnes Zero-Energy House
P Hategekimana - 2017 - dr.ur.ac.rw
At Skarpnes village (Southern Norway), the houses as zero energy buildings (ZEB) are
installed with Building Integrated Photovoltaic (BIPV) systems, and these houses are not …
installed with Building Integrated Photovoltaic (BIPV) systems, and these houses are not …
Prosumer Management Strategies in Residential House
L Župan, Z Klaić, A Androjić… - … Conference on Smart …, 2022 - ieeexplore.ieee.org
The paper presents a prosumer with a grid-connected photovoltaic system and battery
storage that enables better optimization and management of produced electricity. The …
storage that enables better optimization and management of produced electricity. The …
[PDF][PDF] Planning the Future Electricity Mix: Designing the Use of Artificial Neural Networks to Investigate Energy Potentials of Renewable Generation Technologies …
M Allison - 2022 - research.tees.ac.uk
The world is currently in the midst of a fourth major energy transition which is intended to
reduce dependency on fossil fuels. This transition is motivated by the desire to move …
reduce dependency on fossil fuels. This transition is motivated by the desire to move …
Evaluating the Impact of Demand Side Management Techniques on Household Electricity Consumption, A real case
AF Nasef, HAEH Khattab, FF Awad - ERJ. Engineering Research …, 2021 - journals.ekb.eg
Demand Side Management (DSM) is a very important tool that converts a consumer's
passive role to an active one by changing energy consumption and helps the energy utilities …
passive role to an active one by changing energy consumption and helps the energy utilities …
Load-Leveling Trainer for Demand Side Management on a 45kW Cyber-Physical Microgrid
Improving the reliability and efficiency of microgrids to handle diverse load types will lead to
more dependable electrical grids in small communities, reduce costs for both consumers …
more dependable electrical grids in small communities, reduce costs for both consumers …
[PDF][PDF] Evaluating the Impact of Demand Side Management Techniques on Household Electricity Consumption, A real case
HA Khattab, FF Awad, AF Nasef - academia.edu
ABSTRACT Demand Side Management (DSM) is a very important tool that converts a
consumer's passive role to an active one by changing energy consumption and helps the …
consumer's passive role to an active one by changing energy consumption and helps the …
[SITAATTI][C] Contribution à l'étude des Réseaux Electriques Intelligents du futur (Smart-Grids)
NE ATTOU - 2022