A review of electricity demand forecasting in low and middle income countries: The demand determinants and horizons
With the globally increasing electricity demand, its related uncertainties are on the rise as
well. Therefore, a deeper insight of load forecasting techniques for projecting future …
well. Therefore, a deeper insight of load forecasting techniques for projecting future …
Optimization of neural network with wavelet transform and improved data selection using bat algorithm for short-term load forecasting
PMR Bento, JAN Pombo, MRA Calado, S Mariano - Neurocomputing, 2019 - Elsevier
Short-term load forecasting is very important for reliable power system operation, even more
so under electricity market deregulation and integration of renewable resources framework …
so under electricity market deregulation and integration of renewable resources framework …
Similarity-based models for day-ahead solar PV generation forecasting
Accurate forecasting of solar photovoltaic (PV) power for the next day plays an important role
in unit commitment, economic dispatch, and storage system management. However …
in unit commitment, economic dispatch, and storage system management. However …
Weather forecasting error in solar energy forecasting
As renewable distributed energy resources (DERs) penetrate the power grid at an
accelerating speed, it is essential for operators to have accurate solar photovoltaic (PV) …
accelerating speed, it is essential for operators to have accurate solar photovoltaic (PV) …
Long term forecasting using machine learning methods
A robust model for power system load forecasting covering different horizons of time from
short-term to long-term is an indispensable tool to have a better management of the system …
short-term to long-term is an indispensable tool to have a better management of the system …
Efficient operation of residential solar panels with determination of the optimal tilt angle and optimal intervals based on forecasting model
S Akhlaghi, H Sangrody, M Sarailoo… - IET Renewable …, 2017 - Wiley Online Library
A solar panel tilt angle plays a great role in the performance of the solar panel which is
either fixed at an optimal tilt angle or continuously adjusted using a solar tracking system …
either fixed at an optimal tilt angle or continuously adjusted using a solar tracking system …
Artificial intelligence in energy industry: forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system
Demand forecasting is critical for energy systems, as energy is difficult to store and should
only be supplied as needed. Researchers attempted to improve forecasts of energy …
only be supplied as needed. Researchers attempted to improve forecasts of energy …
Short-term load forecasting using optimized LSTM networks via improved bat algorithm
P Bento, J Pombo, S Mariano… - … on intelligent systems …, 2018 - ieeexplore.ieee.org
Short-term load forecasting plays a preponderant role in the daily basis system's operation
and planning. The state-of-the-art comprises a far-reaching set of methodologies, which are …
and planning. The state-of-the-art comprises a far-reaching set of methodologies, which are …
A Reliable Evaluation Metric for Electrical Load Forecasts in V2G Scheduling Considering Statistical Features of EV Charging
An accurate electrical load forecast is essential for the effective implementation of vehicle-to-
grid (V2G) technology to achieve optimal electric vehicle (EV) charging decisions …
grid (V2G) technology to achieve optimal electric vehicle (EV) charging decisions …
Reconfiguration of MVDC shipboard power systems: A model predictive control approach
In this paper, a reconfiguration method based on Model Predictive Control (MPC) is
proposed for a nonlinear Medium-Voltage DC Shipboard Power System. By applying the …
proposed for a nonlinear Medium-Voltage DC Shipboard Power System. By applying the …