A systematic survey on demand response management schemes for electric vehicles
The unprecedented proliferation of electric vehicles is envisioned to revolutionize the
Intelligent Transportation System as an energy-efficient and environment-friendly alternative …
Intelligent Transportation System as an energy-efficient and environment-friendly alternative …
Long-term electricity load forecasting: Current and future trends
Long-term power-system planning and operation, build on expectations concerning future
electricity demand and future transmission/generation capacities. This paper reviews current …
electricity demand and future transmission/generation capacities. This paper reviews current …
Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting
Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also
has a great interest to investors and energy policy maker as well as government. Literature …
has a great interest to investors and energy policy maker as well as government. Literature …
A hybrid data mining driven algorithm for long term electric peak load and energy demand forecasting
Load forecasting is one of the main required studies for power system expansion planning
and operation. In order to capture the nonlinear and complex pattern in yearly peak load and …
and operation. In order to capture the nonlinear and complex pattern in yearly peak load and …
Review of load forecasting based on artificial intelligence methodologies, models, and challenges
H Hou, C Liu, Q Wang, X Wu, J Tang, Y Shi… - Electric Power Systems …, 2022 - Elsevier
Accurate load forecasting can efficiently reduce the day-ahead dispatch stress of power
system or microgrid. The overview of load forecasting based on artificial intelligence models …
system or microgrid. The overview of load forecasting based on artificial intelligence models …
Smart energy management algorithm for load smoothing and peak shaving based on load forecasting of an island's power system
In this study, a novel algorithm for the management of the power flows of an islanded power
system was developed, capable of simultaneously achieving steadier conventional unit …
system was developed, capable of simultaneously achieving steadier conventional unit …
Long-term electricity consumption forecasting method based on system dynamics under the carbon-neutral target
Currently, system dynamics (SDs) is thought to be an effective method to forecast the
evolution process of electricity consumption, which is of great significance for the long-term …
evolution process of electricity consumption, which is of great significance for the long-term …
[HTML][HTML] Fuel cell electric vehicles and hydrogen balancing 100 percent renewable and integrated national transportation and energy systems
V Oldenbroek, S Wijtzes, K Blok… - Energy Conversion and …, 2021 - Elsevier
Future national electricity, heating, cooling and transport systems need to reach zero
emissions. Significant numbers of back-up power plants as well as large-scale energy …
emissions. Significant numbers of back-up power plants as well as large-scale energy …
Long term load projection in high resolution for all countries globally
A Toktarova, L Gruber, M Hlusiak, D Bogdanov… - International Journal of …, 2019 - Elsevier
Electricity demand modelling is the central and integral issue for the planning and operation
of power systems. Load projection provides important information for electricity network …
of power systems. Load projection provides important information for electricity network …
Interruptible load scheduling model based on an improved chicken swarm optimization algorithm
With the continuous growth of the tertiary industry and residential loads, balancing the power
supply and consumption during peak demand time has become a critical issue. Some …
supply and consumption during peak demand time has become a critical issue. Some …