Maximizing Available Resources
Here are some tips to help you make your home or office more energy efficient. In that realm of personal or business optimization, using computerized solutions can help you reach the most energy-efficient plateaus at an affordable cost which may even pay you back in the fullness of time.
Computational technology allows for an increase in precision through automation and metric analysis that, previously, wasn’t available to people. Perhaps in some ancient time lost in legend or lore, like Atlantis, mankind was able to leverage data and automation in such a way as to totally control his environment. But barring such lore, today’s advances are unprecedented.
One of the most important and seismic shifts defining the technology, infrastructure, and renewable energy resources is AI or Artificial Intelligence. Now it’s still not self-aware; that technological event horizon, or “singularity”, has yet to transpire. It’s been predicted for decades, and at some point, it’s quite conceivable that our created tech will reach cognizance.
As yet, this hasn’t happened, and when it does, it will likely still be best to have some level of human intervention define the power such as artificial cognizance has. Right now, AI is quite manageable, even though it has a greater level of autonomy than was perhaps expected by many tech designers.
Autonomy and Precision
On the note of autonomy, automation is a key means of renewable energy recapture. For example, say you’ve got a solar array. Will it bring in more or less energy if the panels remain static? Less. The panels need to move gradually in a way which matches the sun’s track through the sky.
Here’s the thing: Earth’s orbit is elliptical—it travels around the sun in an “oval” pattern. Accordingly, the position of the sun in the sky relative to observers on the ground changes. The most effective solar arrays need to have the flexibility to follow the sun at the most statistically significant angle for energy capture throughout the year.
Such precision requires AI automation to achieve. It can be done manually, but that will be much more expensive than calibrating machines to automatically do the work. Still, properly done, the maximum available energy through solar capture can be attained.
There are a lot of little technological “hacks” like this which merely require understanding such relationships and putting that data into an automated system run by some sort of digital AI. What has exponentially expanded this potentiality is cloud computing. There are app monitoring options available on the cloud now that can help you determine relevant statistics.
IoT, Renewable Energy, And Energy Maximization
The Internet of Things, or IoT, has become all-encompassing. It’s in phones, computers, cars, refrigerators, garages, windows, lighting fixtures, traffic lights—anywhere a device can be fitted with WiFi which can be remotely controlled, IoT has footholds. Accordingly, the preponderance of data has expanded, giving insight.
Part of renewable energy efficiency will involve turning devices on and off when they are or aren’t needed. Take streetlights. There are times where, statistically, lights will be needed—and times when they won’t. Using IoT and AI automation to determine such thresholds can help conserve energy, allowing renewable sources to have greater effectiveness.
AI can also be used to automatically remind people pertaining to certain activities that may or may not conserve energy. If you left a light on in a room where nobody is, an AI device could check an IoT motion sensor, determine excess light isn’t needed, automatically turn it off, cut your utility bill, and conserve energy. Using such AI with local utilities helps you find the most cost-effective Texas electricity plans for homes or businesses.
Big Data: Getting The Most For Homes Or Businesses
Big Data exists because cloud computing is comprised of millions of servers working together as one. A pixel is a point of data, thousands of them make pictures look crystal clear. Think of cloud computing using massive server arrays as harnessed pixels—only each “pixel” is a server. Multiple clouds like this make the processing of massive data sets more viable.
The bigger the data processing capability, the more hidden trends can be identified and utilized for purposes of cutting costs and expanding the operational potential of businesses large and small. Even residential buying power can be supplemented by taut energy conservation: what you save in utilities you can spend in property betterment, increasing equity.
IoT and cloud computing have expanded the capability of existing AI exponentially, and this trend, barring any world-shifting Armageddon-type cataclysm, is likely to continue. If you have yet to consider AI options to increase the optimization of your home or business’s energy profile, this could be worthwhile.
