Results 251 to 260 of about 127,689 (298)

Breathable Graphene Oxide‐Polymer Composite Membranes With Two‐Step Barrier Mechanism Against Nerve Agents

Advanced Functional Materials, EarlyView.
ABSTRACT Breathable membranes that reject chemical warfare agents (CWAs) are required for next‐generation protective apparel. A dual‐function graphene oxide (GO)‐polyamine architecture is introduced that addresses the long‐standing tradeoff between vapor transmission and CWA selectivity.
Hyungjun Kim, Chanui Lee, Keunhong Jeong, Seonggi Kim, Hyunju Shin, Sunghan Kim, Youngho Jin   +6 more
wiley   +1 more source

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

Sci Rep
Hassan M.
europepmc   +1 more source

UniEload: Electrical load dataset for energy forecasting applications at public universities in Bangladesh. [PDF]

Data Brief
Sutradhar U, Biswas P, Hossain S, Islam ATMS, Dev S.   +4 more
europepmc   +1 more source

Short term demand forecasting of electric vehicle charging stations using context aware temporal transformer model. [PDF]

Sci Rep
Hussain A, Lu QC, Rizvi SS, Wang S, Kwon SJ.   +4 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

A server-assisted secure blockchain model for residential demand response in smart grids. [PDF]

Sci Rep
Ghosh A, Goswami AK, Shuaibu HA, Ustun TS.   +3 more
europepmc   +1 more source

Short-term charging load prediction study of electric vehicle charging stations based on K-Medoids clustering and multi-factor optimization decomposition. [PDF]

Sci Rep
Li H, Tang M, Cao J, Yang T, Wang C, Jiang Y.   +5 more
europepmc   +1 more source

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Short-term load forecasting based on load profiling

2013 IEEE Power & Energy Society General Meeting, 2013
Load forecasting has gradually becoming a major field of research in electricity industry. Therefore, Load forecasting is extremely important for the electric sector under deregulated environment as it provides a useful support to the power system management. Accurate power load forecasting models are required to the operation and planning of a utility
Ramos, Sérgio, Soares, João, Vale, Zita, Ramos, Sandra   +3 more
openaire   +2 more sources

Robust short-term load forecasting

International Workshop on Systems, Signal Processing and their Applications, WOSSPA, 2011
Analyzing the stochastic characteristics of electric consumption series in many countries shows the presence of atypical observations or outliers. Outliers are deviant data points that do not follow the model of the majority of observations. They significantly degrade the accuracy of conventional day-ahead estimation and forecasting methods even if ...
Yacine Chakhchoukh, Abdelhak M. Zoubir
openaire   +1 more source