Long-term electricity load forecasting: Current and future trends

KB Lindberg, P Seljom, H Madsen, D Fischer… - Utilities Policy, 2019 - Elsevier
Long-term power-system planning and operation, build on expectations concerning future
electricity demand and future transmission/generation capacities. This paper reviews current …

A review of electricity demand forecasting in low and middle income countries: The demand determinants and horizons

AA Mir, M Alghassab, K Ullah, ZA Khan, Y Lu, M Imran - Sustainability, 2020 - mdpi.com
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 …

Forecasting the load of electrical power systems in mid‐and long‐term horizons: a review

SR Khuntia, JL Rueda… - IET Generation …, 2016 - Wiley Online Library
Load forecasting has always been an important part in the planning and operation of electric
utilities, ie both transmission and distribution companies. With technological advancement …

[HTML][HTML] How to model European electricity load profiles using artificial neural networks

C Behm, L Nolting, A Praktiknjo - Applied Energy, 2020 - Elsevier
We present a method to create synthetic, weather-dependent, annual electricity load profiles
for European countries in hourly resolution using artificial neural networks as a necessary …

A survey on investment demand assessment models for power grid infrastructure

J Li, W Chen, Y Chen, K Sheng, S Du, Y Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
The investment demand forecast of the power grid is the further deepening of grid supply
and demand management. Under the current reform of the power system in China, we are …

[HTML][HTML] An ILP model for stochastic placement of μPMUs with limited voltage and current channels in a reconfigurable distribution network

N Khanjani, SM Moghaddas-Tafreshi - … Journal of Electrical Power & Energy …, 2023 - Elsevier
Micro phasor measurement units (μ PMUs) play a major role in the evolution of distribution
networks toward the smart grids by providing precise and synchronized measurements. In …

A methodology for short-term load forecasting

K Donado, CG Quintero - IEEE Latin America Transactions, 2017 - ieeexplore.ieee.org
Demand forecasting is important for electrical analysis development by utilities. It requires
low error levels in order to reach reliability in electrical analysis. However, the demand for …

Linear and non-linear methods for prediction of peak load at University of São Paulo

JRG Sarduy, KG Di Santo, MA Saidel - Measurement, 2016 - Elsevier
Predicting the peak load contributes to the enhancement of energy management. This paper
presents some models to forecast the peak load of a campus of the University of São Paulo …

Application of artificial neural networks and fuzzy logic to long‐term load forecast considering the price elasticity of electricity demand

S Tondolo de Miranda, A Abaide… - … on Electrical Energy …, 2018 - Wiley Online Library
Over the past few decades, the behavior of electricity consumption has been changing,
especially because of improvements in the distributed generation segment and …

Dynamic hidden-variable network models

H Hartle, F Papadopoulos, D Krioukov - Physical Review E, 2021 - APS
Models of complex networks often incorporate node-intrinsic properties abstracted as
hidden variables. The probability of connections in the network is then a function of these …