Power Play: This Software Takes The Guesswork Out Of Energy Demand
By Bruce Watson – Predicting power demand used to be a simple science: People use more power during certain times — like the morning, when they cook breakfast and turn on their lights — and less during others, like when they hit the sack. Relying on predictable sources of electricity — like gas- and coal-fired power plants — utilities were able to balance supply and demand with some fairly straightforward math based on historical records and other data.
But the steady rise of renewable energy made the power landscape infinitely more complicated. On the supply side, changes in wind or cloud cover can sharply shift the amount of power available. Demand has also become harder to nail down as more consumers manage their power use with smart thermostats and appliances like connected ACs.
At the same time, market forces demand better power forecasts. Power plants and fuel are expensive, and they don’t want to operate or buy more equipment than they may need. “In some countries, regulators are asking power generators to guarantee the quality of their forecasts,” says Olivier Cognet, CEO of Swiss-based startup Predictive Layer.
“It’s no longer possible to say ‘We’ll sell you 20 turbines and see what they produce.’ It’s ‘We’ll produce x amount of energy by noon, y amount of energy in two hours and z energy in one month.” more>
Posted in Business, Economic development, Economy, Energy, History, Nature, Technology
Tagged Big data, Business improvement, GE, Machine learning, Productivity, Renewable energy, Technology
Digiconomist – Ever since its inception Bitcoin’s trust-minimizing consensus has been enabled by its proof-of-work algorithm. The machines performing the “work” are consuming huge amounts of energy while doing so. The Bitcoin Energy Consumption Index was created to provide insight into this amount, and raise awareness on the unsustainability of the proof-of-work algorithm.
Note that the Index contains the aggregate of Bitcoin and Bitcoin Cash (other forks of the Bitcoin network are not included). A separate index was created for Ethereum, which can be found here.
To put the energy consumed by the Bitcoin network into perspective we can compare it to another payment system like VISA for example. According to VISA, the company consumed a total amount of 674,922 Gigajoules of energy (from various sources) globally for all its operations. This means that VISA has an energy need equal to that of around 17,000 U.S. households. We also know VISA processed 111.2 billion transactions in 2017.
With the help of these numbers, it is possible to compare both networks and show that Bitcoin is extremely more energy intensive per transaction than VISA. more>
Analyzing the 2017 Orders & Deliveries Race
By Randy Tinseth – For the 6th year in a row, Boeing out-delivered the competition and set a new industry record by pushing 763 airplanes out the door.
At the start of 2017, we set a delivery target of 760 to 765 airplanes. To land in the middle of that target speaks to the dedication of our employees and supplier partners to deliver on the commitments to our customers. You’ve heard me say it before—deliveries matter. It’s the true measure of success, and we nailed it once again in 2017 at the same time we went up on 737 production rate and introduced the MAX.
Our net order total of 912 commercial airplanes was the 7th largest yearly order book in Boeing’s more than 100-year history. Not only was our order book big, it was deep and broad. Our sales team took in orders from 71 customers across the globe. The 737 MAX had another strong year, fueled in part by the MAX 10 launch. And anytime you can book almost 200 twin-aisle airplanes with products clearly preferred by the market, it’s a good year. The sales success we had in 2017 once again confirms our strategy to raise production rates on the 737 and 787 programs. more>
Retail Digitization… Friend or Foe?
By Brian Lavallée – The retail industry is one of the most competitive industries today, placing enormous pressure on the retailers who are continually striving to reinvent, reinvigorate, and rejuvenate their position with buyers, who are more informed than ever due to readily available online resources, long before they enter a brick and mortar store.
The same assets that consumers use to become increasingly informed can and are also being leveraged by retailers to best become the store of choice to sell their products – networks and data analytics.
The wealth of readily available and free online resources allows customers to perform advanced reconnaissance by researching product specifications, product field performance, as well as comparative product analysis pricing, performance, warranty, and user experience. This means that consumers are extremely informed before they purchase a product and often more so than the salesperson.
In short, the digital transformation has forever reshaped customer behavior and the shopping experience, which means retailers must change to this new shopping environment often by leveraging the very same tools that created the shopping ninja – networks and analytics – which allow retailers to create the required digital shopping experience that today’s consumers want and need. more>
Posted in Broadband, Business, Communication industry, Economy, Net, Product, Technology
Tagged analytics, Broadband, Business improvement, Ciena, Digitization, Retail