Monitoring Home Energy Usage Using an Unsupervised NILM Algorithm Based on Entropy Index Constraints Competitive Agglomeration (EICCA)

2018 ◽  
pp. 478-490 ◽  
Author(s):  
Kondwani M. Kamoto ◽  
Qi Liu
Keyword(s):  
Energy Usage ◽  
Entropy Index

Energy usage is crucial social issue

1981 ◽  
Author(s):  
Stuart Oskamp
Keyword(s):  
Social Issue ◽  
Energy Usage

Energy Efficiency Analysis in ERA using NFL-BA Algorithm

2020 ◽  
pp. 340-348
Author(s):  
Palky Mehta ◽  
H. L. Sharma
Keyword(s):  
Cluster Head ◽  
Vital Role ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Cluster Heads ◽  
Comparison Results ◽  
Current Scenario ◽  
Energy Efficiency Analysis ◽  
Selection Of

In the current scenario of Wireless Sensor Network (WSN), power consumption is the major issue associated with nodes in WSN. LEACH technique plays a vital role of clustering in WSN and reduces the energy usage effectively. But LEACH has its own limitation in order to search cluster head nodes which are randomly distributed over the network. In this paper, ERA-NFL- BA algorithm is being proposed for selects the cluster heads in WSN. This algorithm help in selection of cluster heads can freely transform from global search to local search. At the end, a comparison has been done with earlier researcher using protocol ERA-NFL, which clearly shown that proposed Algorithm is best suited and from comparison results that ERA-NFL-BA has given better performance.

SOME TRENDS IN GRASSLAND FARMING IN EUROPE

1977 ◽  
pp. 5-19
Author(s):  
R.W. Brougham
Keyword(s):  
Land Use ◽  
Crude Protein ◽  
Energy Usage ◽  
Hill Country ◽  
Wide Range

IN an assessment such as this, one could cover a wide range of topics fairly shallowly or a lesser number in a bit more depth. I have opted for the latter. The topics discussed will embrace some trends in dairying, beef farming, sheep farming, hill country farming, and land use generally, species and variety usage in grassland farming, use of crude protein produced from pasture, and some implications of energy usage.

Developing Multi-Tier Network Design for Effective Energy Consumption of Cluster Head Selection in WSN

2016 ◽  
Vol 13 (1) ◽  
pp. 116
Author(s):  
Wan Isni Sofiah Wan Din ◽  
Saadiah Yahya ◽  
Mohd Nasir Taib ◽  
Ahmad Ihsan Mohd Yassin ◽  
Razulaimi Razali
Keyword(s):  
Sensor Network ◽  
Clustering Algorithm ◽  
Cluster Head ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Cluster Head Selection ◽  
Energy Usage ◽  
Network Cluster ◽  
Fuzzy Logic Approach ◽  
The Stability

Clustering in Wireless Sensor Network (WSN) is one of the methods to minimize the energy usage of sensor network. The design of sensor network itself can prolong the lifetime of network. Cluster head in each cluster is an important part in clustering to ensure the lifetime of each sensor node can be preserved as it acts as an intermediary node between the other sensors. Sensor nodes have the limitation of its battery where the battery is impossible to be replaced once it has been deployed. Thus, this paper presents an improvement of clustering algorithm for two-tier network as we named it as Multi-Tier Algorithm (MAP). For the cluster head selection, fuzzy logic approach has been used which it can minimize the energy usage of sensor nodes hence maximize the network lifetime. MAP clustering approach used in this paper covers the average of 100Mx100M network and involves three parameters that worked together in order to select the cluster head which are residual energy, communication cost and centrality. It is concluded that, MAP dominant the lifetime of WSN compared to LEACH and SEP protocols. For the future work, the stability of this algorithm can be verified in detailed via different data and energy. 

GREEN refining technology

2015 ◽  
pp. 508-514 ◽  
Author(s):  
Craig Jensen ◽  
David Love
Keyword(s):  
Environmentally Friendly ◽  
Step Change ◽  
Energy Usage ◽  
Capital Equipment ◽  
Green Is ◽  
Cooling Crystallization ◽  
Sugar Refinery

The objective of this paper is to describe a “step-change” in refining technology being proposed by Tongaat Hulett. This patented technology is termed “GREEN” Refining Technology, where “GREEN” is an acronym for “Greatly Reduced Energy and Equipment Needs”. The name attempts to encapsulate the “environmentally friendly” benefits of reduced energy usage whilst also emphasising the major savings in both energy and capital equipment requirements of the technology. GREEN refining technology aims to substantially (and ultimately totally) replace evaporating crystallization with cooling crystallization in a sugar refinery.

Analisis Wilayah Kecamatan Potensial Melalui Pendekatan Tipologi Klassen di Kabupaten Ende

Analisis ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 39-49
Author(s):  
Estherlina Sagajoka
Keyword(s):  
Economic Development ◽  
Descriptive Analysis ◽  
Population Data ◽  
Spatial Inequality ◽  
Theil Index ◽  
Time Data ◽  
Entropy Index ◽  
Quantitative Descriptive Analysis ◽  
Index Analysis ◽  
The City

This study aims to determine the comparison of the results of the inequality analysis of economic development between districts / cities in the province of East Nusa Tenggara for the period of 2013-2018. The method used in this research is quantitative descriptive analysis using the Williamson index, and Theil Entropy Index, using time data per capita PDRB series and population data for each district / city in 2013-2018. The Williamson Index analysis results show that the economic development sector inequality in 21 districts in NTT province is very evenly distributed (low inequality) except for the city of Kupang, which has an Williamson Index value of 1.49 other than districts in NTT province in the period 2013-2018. The Intra Index Analysis Results show spatial inequality within the regency. The city of Nusa Tenggara Timur province is fairly evenly distributed within the regency except the city of Kupang  shows an unequal inequality compared to 21 other districts. Through the Theil Entropy Index calculation of development inequality between 21 regencies and Kupang  tend to widen (divergence) which has Theil  Index of 798,15, while the other 21 districts in the 2013-2018 period have the Theil Entropy Index Index 211,26 for Regencies and  TTS 201,11, while other districts have an index numberbelow 200.

Applying real-time pollution control to reduce chemical costs and energy usage for DAF

2016 ◽  
Vol 2016 (12) ◽  
pp. 3227-3234
Author(s):  
H Long ◽  
E Broeders ◽  
H.W.H Menkveld
Keyword(s):  
Real Time ◽  
Pollution Control ◽  
Energy Usage

Investigation of energy usage in the university buildings

2018 ◽  
Author(s):  
M.A. Salam ◽  
M.G. Yazdani ◽  
Fushuan Wen ◽  
Q.M. Rahman ◽  
M.R. Uddin ◽  
...  
Keyword(s):  
Energy Usage ◽  
University Buildings ◽  
The University

How do corporations manage their energy usage?

1992 ◽  
Vol 2 (3) ◽  
pp. 109
Author(s):  
Andrew Ridyard
Keyword(s):  
Energy Usage
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