Results 161 to 170 of about 108,774 (242)

Short term load forecasting for Iran National Power System and its regions using multi layer perceptron and fuzzy inference systems

, 2006
R. Barzamini, Mohammad Bagher Menhaj, Abbas Khosravi, Sh. Kamalvand   +3 more
openalex   +2 more sources

Optimized multi agent reinforcement learning algorithms with hybrid BiLSTM for cost efficient EV charging scheduling. [PDF]

Front Artif Intell
Khekare U, Vedaraj I S R.
europepmc   +1 more source

Short-term power load forecasting based on EEMD-SE and RBF optimized by genetic algorithm

, 2019
Qiang Gao, Li Yilong, Dahua Li, Bai Zixuan   +3 more
openalex   +2 more sources

Artificial intelligence powered intelligent energy management framework for hydrogen storage and dispatch in smart microgrids. [PDF]

Sci Rep
Hassan M.
europepmc   +1 more source

Improving predictive reliability and automation of smart grids using the StarNet ensemble model. [PDF]

Sci Rep
Chhabra A, Singh SK, Kumar S, Singh M, Chauhan U, Arora S, Alhalabi W, Arya V, Alsulami BS, Hsu CH, Gupta BB.   +10 more
europepmc   +1 more source

Intelligent demand-side energy management via optimized ANFIS-gene expression programming in hybrid renewable-grid systems. [PDF]

Sci Rep
Elboughdiri N, Kriaa K, Bakare MS, Abdulkarim A, Alaneme GU, Maatki C.   +5 more
europepmc   +1 more source

Short-term electrical loads forecasting for new Baron Technopark hybrid renewable energy power plant Yogyakarta using artificial neural network [PDF]

Salsabila Rahmaniah, Muhammad Irfan, Novendra Setyawan   +2 more
openalex   +1 more source

A multi strategy optimization framework using AI digital twins for smart grid carbon emission reduction. [PDF]

Sci Rep
Sakthivel S, Arivukarasi M, Charulatha G, Nithisha J, Abirami B, Jaithunbi AK, Suresh Kumar V.   +6 more
europepmc   +1 more source

The peak shifting electricity consumption management and influencing factors of smart grid from recurrent neural network model and deep learning. [PDF]

Sci Rep
Wang F, Huang D, Lu W.
europepmc   +1 more source

Multi-temporal dimension prediction of new energy electricity demand based on chaos-LSSVM neural network. [PDF]

Sci Rep
Wu Y, Wang W, Ma X, Zhao R, Wu B, Chen P, An Q.   +6 more
europepmc   +1 more source