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» Neural Networks in Forecasting Electrical Energy Consumption
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SUTC
2006
IEEE
14 years 1 months ago
Towards Embedded Wireless-Networked Intelligent Daylighting Systems for Commercial Buildings
Energy efficient office lighting systems can save 40% in electricity consumption in areas that receive significant amounts of daylight. In spite of the savings they can generate, ...
Yao-Jung Wen, Jessica Granderson, Alice M. Agogino
ESOA
2006
13 years 11 months ago
ASOS: An Adaptive Self-organizing Protocol for Surveillance and Routing in Sensor Networks
We present a simple model of self-organization for sensor networks that addresses two conflicting requirements: hazard situations should be reported to a sink node with as little ...
Jorge Simão
EENERGY
2010
13 years 10 months ago
Policy-driven distributed and collaborative demand response in multi-domain commercial buildings
Enabling a sophisticated Demand Response (DR) framework, whereby individual consumers adapt their electricity consumption in response to price variations, is a major objective of ...
Archan Misra, Henning Schulzrinne
ICIP
2002
IEEE
14 years 9 months ago
A window-based color quantization technique and its embedded implementation
A new color quantization (CQ) technique and its VLSI implementation is introduced. It is based on image split into windows and uses Kohonen Self Organized Neural Network Classifie...
Antonios Atsalakis, Nikos Papamarkos, Dimitrios So...
GLOBECOM
2007
IEEE
14 years 1 months ago
Hybrid Coherent and Frequency-Shifted-Reference Ultrawideband Radio
Ultrawideband communications often occur in heterogeneous networks where different receivers have different complexity and energy consumption requirements. In this case it is desi...
Huaping Liu, Andreas F. Molisch, Shiwei Zhao, Denn...