Greater distributed production of energy from renewable resources such as solar radiation has increased fluctuations of power on the electrical grid. Current infrastructure has limited ability to handle continued increases in fluctuations. Predicting weather patterns in areas containing a high penetration of solar photovoltaic installations can allow time to switch to energy storage and inform consumers to conserve energy thereby mitigating such fluctuations. Accurate prediction requires data at a high spatial and temporal resolution in hard-to-access areas such as on the rooftops of commercial and government buildings. A low-cost, autonomous, and easily maintained meteorological sensor network can meet these requirements. Through rapid pro...
In this paper, we propose four novel schemes for solar energy prediction in wireless sensor nodes. T...
Photovoltaic (PV) systems use the sunlight and convert it to electrical power. It is predicted that ...
Access to short term weather forecasts is still limited in local communities of Africa. Unlike short...
Increasing concerns surrounding the influence of urban climate on the livability of cities and the h...
The Smart Grid is a key development of modern power grids that includes among other features, greate...
Long-term sensor network deployments demand careful power management. While managing power requires ...
Effective sensing of environmental parameters or conditions rely on wireless connectivity of spatial...
Meteorological conditions such as air density, temperature, solar radiation etc. strongly affect the...
Accurate measurements of global solar radiation, atmospheric temperature and relative humidity, as w...
Abstract—Due to advances in low power micro-sensor tech-nology, energy harvesting techniques, we can...
Systems that harvest environmental energy must carefully regulate their us-age to satisfy their dema...
This study aims developing customized novel data acquisition for photovoltaic systems under extreme ...
Cloud-induced photovoltaic variability can affect grid stability and power quality, especially in el...
This thesis utilizes wireless sensor network systems to learn of changes in wireless network perform...
With increasingly changing climates, measuring the weather on remote, off-grid locations has become ...
In this paper, we propose four novel schemes for solar energy prediction in wireless sensor nodes. T...
Photovoltaic (PV) systems use the sunlight and convert it to electrical power. It is predicted that ...
Access to short term weather forecasts is still limited in local communities of Africa. Unlike short...
Increasing concerns surrounding the influence of urban climate on the livability of cities and the h...
The Smart Grid is a key development of modern power grids that includes among other features, greate...
Long-term sensor network deployments demand careful power management. While managing power requires ...
Effective sensing of environmental parameters or conditions rely on wireless connectivity of spatial...
Meteorological conditions such as air density, temperature, solar radiation etc. strongly affect the...
Accurate measurements of global solar radiation, atmospheric temperature and relative humidity, as w...
Abstract—Due to advances in low power micro-sensor tech-nology, energy harvesting techniques, we can...
Systems that harvest environmental energy must carefully regulate their us-age to satisfy their dema...
This study aims developing customized novel data acquisition for photovoltaic systems under extreme ...
Cloud-induced photovoltaic variability can affect grid stability and power quality, especially in el...
This thesis utilizes wireless sensor network systems to learn of changes in wireless network perform...
With increasingly changing climates, measuring the weather on remote, off-grid locations has become ...
In this paper, we propose four novel schemes for solar energy prediction in wireless sensor nodes. T...
Photovoltaic (PV) systems use the sunlight and convert it to electrical power. It is predicted that ...
Access to short term weather forecasts is still limited in local communities of Africa. Unlike short...