A meta-modeling power consumption forecasting approach combining client similarity and causality
D Kontogiannis, D Bargiotas, A Daskalopulu… - Energies, 2021 - mdpi.com
Power forecasting models offer valuable insights on the electricity consumption patterns of
clients, enabling the development of advanced strategies and applications aimed at energy …
clients, enabling the development of advanced strategies and applications aimed at energy …
[HTML][HTML] Forecasting electricity demand of municipalities through artificial neural networks and metered supply point classification
S Mateo-Barcos, D Ribó-Pérez, J Rodríguez-García… - Energy Reports, 2024 - Elsevier
This study develops a methodology to characterise and forecast large consumers' electricity
demand, particularly municipalities, with hundreds of different metered supply points based …
demand, particularly municipalities, with hundreds of different metered supply points based …
Analysis of Prediction and Clustering of Electricity Consumption in the Province of Imbabura-Ecuador for the Planning of Energy Resources
JF Rosero-Garcia, EA Llanes-Cedeño… - … : Proceedings of the …, 2021 - Springer
The electrical planning of a country is a growing need for its economic development.
However, this analysis is complex to carry out due to the different consumption habits of the …
However, this analysis is complex to carry out due to the different consumption habits of the …
Analysis of electric load forecasting using combined method (Study case 2019–2029 in PT. PLN (Persero) UP3 Sukabumi)
IA Rahardjo, M Subekti, P Parjiman… - IOP Conference Series …, 2021 - iopscience.iop.org
The purpose of this study is to find out how much electric load to Sukabumi from 2019 until
2029 at PT. PLN (Persero) UP3 Sukabumi. Forecasting of electrical load using historical …
2029 at PT. PLN (Persero) UP3 Sukabumi. Forecasting of electrical load using historical …
[PDF][PDF] Design strategies towards the enhancement of short-term forecasting in the energy sector
ΔΙ Κοντογιάννης - 2023 - ir.lib.uth.gr
Short-term forecasting processes constitute an integral part of data analysis in the energy
sector since their integration in demand response programs, energy management systems …
sector since their integration in demand response programs, energy management systems …
[引用][C] CNN-LSTM for smart grid energy consumption prediction
I Aliyu, U Kamoliddin, SJ Seong, S Cen… - 한국콘텐츠학회ICCC …, 2021 - dbpia.co.kr
CNN-LSTM for Smart Grid Energy Consumption Prediction Page 1 29 CNN-LSTM for Smart
Grid Energy Consumption Prediction Ibrahim Aliyu, Usmonov Kamoliddin, Seung Je Seong …
Grid Energy Consumption Prediction Ibrahim Aliyu, Usmonov Kamoliddin, Seung Je Seong …