With the continuously increasing demand for energy, reduction in greenhouse gas emission
for daily energy usage is a challenging task. Solar energy based technologies possess the …

In this paper, artificial neural network (ANN) based Levenberg-Marquardt (LM), Bayesian
Regularization (BR) and Scaled Conjugate Gradient (SCG) algorithms are deployed in …

The prospect of combining, at small-scale, a photovoltaic cell and a thermoelectric generator
has emerged as a promising approach to enhance the non-recovered and unexploited heat …

In this paper, the Levenberg–Marquardt (LM), Bayesian regularization (BR), resilient
backpropagation (RP), gradient descent momentum (GDM), Broyden–Fletcher–Goldfarb …

Sensor nodes are critical components of the Internet of Things (IoT). Traditional IoT sensor
nodes are typically powered by disposable batteries, making it difficult to meet the …

Conventional wireless sensor networks (WSNs) in smart home-building (SHB) are typically
driven by batteries, limiting their lifespan and the maximum number of deployable units. To …

There are a variety of maximum power point tracking (MPPT) algorithms for improving the
energy efficiency of solar photovoltaic (PV) systems. The mode of implementation (digital or …

WiFi energy harvesting is a promising solution for powering microsensors and microsystems
through collecting electromagnetic (EM) energies that exist everywhere in modern daily …

This paper proposes an Internet of Thing (IoT)-enabled smart plug socket (SPS) to monitor
and control energy consumption in a home/building energy management system. The …

Harvesting energy for IoT nodes in places that are permanently poorly lit is important, as
many such places exist in buildings and other locations. The need for energy-autonomous …