Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …
potential to change our energy supply, trade, and consumption dramatically. The new …
Electricity load forecasting: a systematic review
IK Nti, M Teimeh, O Nyarko-Boateng… - Journal of Electrical …, 2020 - Springer
The economic growth of every nation is highly related to its electricity infrastructure, network,
and availability since electricity has become the central part of everyday life in this modern …
and availability since electricity has become the central part of everyday life in this modern …
Applications of random forest in multivariable response surface for short-term load forecasting
GF Fan, LZ Zhang, M Yu, WC Hong, SQ Dong - International Journal of …, 2022 - Elsevier
Accurate load forecasting is helpful for optimizing the use of power resources. To this end,
this investigation proposes a hybrid model for short-term load forecasting, namely the RF …
this investigation proposes a hybrid model for short-term load forecasting, namely the RF …
A transformer-based method of multienergy load forecasting in integrated energy system
Multienergy load forecasting technique is the basis for the operation and scheduling of
integrated energy system. Different types of loads in an integrated energy system, ie …
integrated energy system. Different types of loads in an integrated energy system, ie …
[HTML][HTML] A review of the use of artificial intelligence methods in infrastructure systems
L McMillan, L Varga - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …
growth of digitalisation and has the potential to enable the 'system of systems' approach …
Revolutionizing solar energy with ai-driven enhancements in photovoltaic technology
A Mohammad, F Mahjabeen - … Jurnal Multidisiplin Ilmu, 2023 - journal.mediapublikasi.id
The important contribution of artificial intelligence (AI) to improving solar cell performance
and its effects on sustainability and the integration of renewable energy. The article covers a …
and its effects on sustainability and the integration of renewable energy. The article covers a …
Short-term load forecasting using channel and temporal attention based temporal convolutional network
Load forecasting is the foundation of power system operation and planning. Accurate load
forecasting can secure the safe and reliable operation of the power system, cut power …
forecasting can secure the safe and reliable operation of the power system, cut power …
Short-term electricity load forecasting with machine learning
E Aguilar Madrid, N Antonio - Information, 2021 - mdpi.com
An accurate short-term load forecasting (STLF) is one of the most critical inputs for power
plant units' planning commitment. STLF reduces the overall planning uncertainty added by …
plant units' planning commitment. STLF reduces the overall planning uncertainty added by …
Uncovering the impact of the COVID-19 pandemic on energy consumption: New insight from difference between pandemic-free scenario and actual electricity …
The existing measurement of the impact of the COVID-19 pandemic on energy consumption
is based on changes between the years, which demonstrates the changes in energy …
is based on changes between the years, which demonstrates the changes in energy …
Electrical load forecasting: A deep learning approach based on K-nearest neighbors
Y Dong, X Ma, T Fu - Applied Soft Computing, 2021 - Elsevier
Deep learning approaches have shown superior advantages than shallow techniques in the
field of electrical load forecasting; however, their applications in existing studies encounter …
field of electrical load forecasting; however, their applications in existing studies encounter …