A review on short‐term load forecasting models for micro‐grid application

VY Kondaiah, B Saravanan… - The Journal of …, 2022 - Wiley Online Library
Load forecasting (LF), particularly short‐term load forecasting (STLF), plays a vital role
throughout the operation of the conventional power system. The precise modelling and …

Short-term load forecasting of natural gas with deep neural network regression

GD Merkel, RJ Povinelli, RH Brown - Energies, 2018 - mdpi.com
Deep neural networks are proposed for short-term natural gas load forecasting. Deep
learning has proven to be a powerful tool for many classification problems seeing significant …

Short-term electrical load forecasting method based on stacked auto-encoding and GRU neural network

K Ke, S Hongbin, Z Chengkang, C Brown - Evolutionary Intelligence, 2019 - Springer
With the rapid development of smart grid, to solve the power enterprises' requirement in
short-term load forecasting, this paper proposes a short-term electrical load forecasting …

Data-driven short-term natural gas demand forecasting with machine learning techniques

V Sharma, Ü Cali, B Sardana, M Kuzlu, D Banga… - Journal of Petroleum …, 2021 - Elsevier
Natural gas demand forecasting is one of the most crucial steps in the proper planning and
operation of natural gas supply systems. The demand and supply of natural gas must be …

Electricity, heat, and gas load forecasting based on deep multitask learning in industrial-park integrated energy system

L Zhang, J Shi, L Wang, C Xu - Entropy, 2020 - mdpi.com
Different energy systems are closely connected with each other in industrial-park integrated
energy system (IES). The energy demand forecasting has important impact on IES …

Effective short-term forecasting for daily time series with complex seasonal patterns

I Naim, T Mahara, AR Idrisi - Procedia computer science, 2018 - Elsevier
Time series forecasting is a process of estimating future value based on historical data and it
plays a crucial role in business decision making in various domains. The selection of a …

Penggunaan Remote Sensing dan Google Trends untuk Estimasi Produk Domestik Bruto Indonesia

FY Kamal, MI Sari, MFGU Utami… - Equilibrium: Jurnal …, 2024 - journal.uniku.ac.id
Pembangunan ekonomi merupakan salah satu topik yang penting untuk dikaji karena
memberi gambaran tingkat kesejahteraan suatu negara. Akan tetapi, kebutuhan data yang …

Time series analysis and prediction of bitcoin using long short term memory neural network

TI Adegboruwa, SA Adeshina… - 2019 15th International …, 2019 - ieeexplore.ieee.org
Bitcoin is the first digital currency that uses decentralization to solve the issue of trust in
performing the functions of a digital currency successfully. This digital currency has shown …

[PDF][PDF] Comparative analysis of metaheuristic optimization algorithms for natural gas demand forecast with meteorological parameters

Z Bilici, D Özdemir - Journal of the Faculty of Engineering and …, 2023 - researchgate.net
Comparative analysis of metaheuristic optimization algorithms for natural gas demand
forecast with meteorological parameters Page 1 Journal of the Faculty of Engineering and …

Predictability, constancy and contingency in electric load profiles

C Wu, W Tang, K Poolla… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Electric load profile forecasting is among the most important tasks in power system
operation. This task has been performed reasonably well with minimal disruption from …