[HTML][HTML] Impact study of temperature on the time series electricity demand of urban nepal for short-term load forecasting
Y Rajbhandari, A Marahatta, B Ghimire… - Applied System …, 2021 - mdpi.com
Short-term electricity demand forecasting is one of the best ways to understand the changing
characteristics of demand that helps to make important decisions regarding load flow …
characteristics of demand that helps to make important decisions regarding load flow …
[HTML][HTML] Short-term electricity demand forecasting: Impact analysis of temperature for Thailand
K Chapagain, S Kittipiyakul, P Kulthanavit - Energies, 2020 - mdpi.com
Accurate electricity demand forecasting for a short horizon is very important for day-to-day
control, scheduling, operation, planning, and stability of the power system. The main factors …
control, scheduling, operation, planning, and stability of the power system. The main factors …
Highly efficient short term load forecasting scheme using long short term memory network
SH Rafi - 2020 8th International Electrical Engineering …, 2020 - ieeexplore.ieee.org
Load forecasting procedure is one of the most vital factors to make the selection of unit
commitment, economic dispatch, relaxation, spinning reserve capacity and schedule device …
commitment, economic dispatch, relaxation, spinning reserve capacity and schedule device …
[PDF][PDF] A review on classical and modern techniques with decision making tools for load forecasting
International Journal of Emerging Trends in Engineering and Development Issue 3, Vol.6 (November
2013) Page 1 International Journal of Emerging Trends in Engineering and Development …
2013) Page 1 International Journal of Emerging Trends in Engineering and Development …
An effective short-term load forecasting methodology using convolutional long short term memory network
In this research work, an improved short-term electrical load forecasting technique is
developed. Short-term load forecasting plays a key role in scheduling of generating units …
developed. Short-term load forecasting plays a key role in scheduling of generating units …
An Scrupulous Framework to Forecast the Weather using CNN with Back Propagation Method
Weather estimation has turned into a significant field of research over the most recent couple
of many years. In a large portion of the cases, the specialist had analyzed to build up a …
of many years. In a large portion of the cases, the specialist had analyzed to build up a …
Short term electric load forecasting using high precision convolutional neural network
SH Rafi - … International Conference on Computer, Electrical & …, 2020 - ieeexplore.ieee.org
In this research work, a novel methodology for the issue of short-term load forecasting
(STLF) procedure using convolutional neural network (CNN) is presented. The forecasting …
(STLF) procedure using convolutional neural network (CNN) is presented. The forecasting …
Temperature-load sensitivity study for adjusting MISO day-ahead load forecast
J Yan, H Zheng, N Lu - 2016 IEEE Power and Energy Society …, 2016 - ieeexplore.ieee.org
This paper presents the results of a temperature-load sensitivity study carried out at the
Midcontinent Independent System Operator (MISO) for adjusting MISO day-ahead load …
Midcontinent Independent System Operator (MISO) for adjusting MISO day-ahead load …
Performance evaluation of Box-Jenkins and linear-regressions methods versus the study-period's variations: Tunisian grid case
S Essallah, A Bouallegue… - 2015 IEEE 12th …, 2015 - ieeexplore.ieee.org
In the aim of forecasting the electricity demand in Tunisia, we have attempted in this paper to
evaluate the performances of two traditional methods namely the univariate Box-Jenkins …
evaluate the performances of two traditional methods namely the univariate Box-Jenkins …
Previsão múltipla em séries temporais de energia elétrica com Temporal Fusion Transformer
ABA Ferreira - 2024 - repositorio.unesp.br
A previsão da demanda energética é essencial para a eficiência e estabilidade dos
sistemas elétricos de potência. Tradicionalmente, as metodologias de previsão analisam as …
sistemas elétricos de potência. Tradicionalmente, as metodologias de previsão analisam as …