Selection of appropriate climatic variables for prediction of electricity demand is critical as it affects the accuracy of the prediction. Different climatic variables may have different impacts …
B Li, J Zhang, Y He, Y Wang - IEEE Access, 2017 - ieeexplore.ieee.org
Improving the accuracy of power system load forecasting is important for economic dispatch. However, a load sequence is highly nonstationary and hence makes accurate forecasting …
B Zhang, JL Wu, PC Chang - Soft Computing, 2018 - Springer
Electricity, an indispensable resource in daily life and industrial production, is hard to store, so accurate short-term load forecasting (STLF) plays a vital role in resource allocation …
An efficient energy operation strategy for the smart grid requires accurate day-ahead electricity load forecasts with high time resolutions, such as 15 or 30 min. Most high-time …
R Houimli, M Zmami, O Ben-Salha - energy Systems, 2020 - Springer
The accuracy of short-term electricity load forecasting is of great interest since it allows avoiding unexpected blackouts and lowering operating costs. In this paper, we aim to …
DH Vu, KM Muttaqi… - 2014 IEEE Industry …, 2014 - ieeexplore.ieee.org
This paper presents a regression based moving window model for solving the short-term electricity forecasting problem. Moving window approach is employed to trace the demand …
MB Jain, MK Nigam, PC Tiwari - 2012 World Congress on …, 2012 - ieeexplore.ieee.org
Short term load forecasting in this paper is done by considering the sensitivity of the network load to the temperature, humidity, day type parameters (THD) and previous load and also …
D Sarkar, T Ao, SK Gunturi - Theoretical and Applied Climatology, 2022 - Springer
Electricity is an essential commodity that must be generated in response to demand. Hydroelectric power plants, fossil fuels, nuclear energy, and wind energy are just a few …
LN Silva, AR Abaide, IC Figueiró… - 2017 52nd …, 2017 - ieeexplore.ieee.org
The short-term load forecasting study is characterized as an estimative of the consumption pattern ranging from a day to a few months ahead, related to the operation planning, mainly …