Click here to close now.


@BigDataExpo Authors: Elizabeth White, Liz McMillan, Yeshim Deniz, Carmen Gonzalez, Pat Romanski

News Feed Item

NextEra Energy Resources agrees to sell hydro generating assets to a subsidiary of Brookfield Renewable Energy Partners, L.P.

JUNO BEACH, Fla., Dec. 21, 2012 /PRNewswire-FirstCall/ -- NextEra Energy Resources, LLC, the competitive energy subsidiary of NextEra Energy, Inc. (NYSE: NEE), today announced that one of its subsidiaries has entered into an agreement to sell all of its equity interests in White Pine Hydro Investments, LLC, which indirectly owns 351 megawatts (MW) of hydro generation related assets in Maine and New Hampshire through FPL Energy Maine Hydro, LLC (Maine Hydro).

(Logo: )

The sale is based on an enterprise value of approximately $760 million, subject to typical closing adjustments and includes the existing $700 million of non-recourse project debt.

The Maine Hydro assets consist of a portfolio of hydroelectric generation plants and equity interests in eight storage reservoirs in Maine and New Hampshire. The hydro assets are located primarily on three major river systems, which are the Kennebec River system, the Androscoggin River system, and the Saco River system, with one project located on the Presumpscot River system.

"While this is an attractive portfolio in many respects, this transaction enables us to further optimize our power generation portfolio and concentrate our resources on areas with greater growth potential for our business," said Armando Pimentel, president and CEO of NextEra Energy Resources.

The transaction is expected to result in a gain upon execution, but it is not expected to have a material impact on NextEra Energy Resource's financial position or ongoing future financial results. The transaction is expected to close in the first quarter of 2013, pending receipt of the necessary regulatory approvals.

Chadbourne & Parke served as outside legal counsel for NextEra Energy Resources in this transaction.

About NextEra Energy Resources

NextEra Energy Resources, LLC (together with affiliated entities, "NextEra Energy Resources"), is a clean energy leader and is one of the largest competitive energy suppliers in North America, operating in 22 states and Canada as of year-end 2011. NextEra Energy Resources is the largest generator in the United States of renewable energy from the wind and sun, owning and operating approximately 8,569 megawatts of wind and 158 megawatts of solar power generation at the end of 2011. The business operates clean, emissions-free nuclear power generation facilities in New Hampshire, Iowa and Wisconsin as part of the NextEra Energy nuclear fleet, which has the third largest number of commercial nuclear power units in the United States. NextEra Energy Resources is a subsidiary of Juno Beach, Fla.-based NextEra Energy, Inc. (NYSE: NEE). For more information, visit

Cautionary Statements and Risk Factors That May Affect Future Results

This press release contains "forward-looking statements" within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are not statements of historical facts, but instead represent the current expectations of NextEra Energy, Inc. (NextEra Energy) and Florida Power & Light Company (FPL) regarding future operating results and other future events, many of which, by their nature, are inherently uncertain and outside of NextEra Energy's and FPL's control.  In some cases, you can identify the forward-looking statements by words or phrases such as "will," "will likely result," "expect," "anticipate," "believe," "intend," "plan," "seek," "aim," "potential," "projection," "forecast," "predict," "goals," "target," "outlook," "should," "would" or similar words or expressions. You should not place undue reliance on these forward-looking statements, which are not a guarantee of future performance. The future results of NextEra Energy and FPL are subject to risks and uncertainties that could cause their actual results to differ materially from those expressed or implied in the forward-looking statements. These risks and uncertainties include, but are not limited to, the following: effects of extensive regulation of NextEra Energy's and FPL's business operations; inability of NextEra Energy and FPL to recover in a timely manner any significant amount of costs, a return on certain assets or an appropriate return on capital through base rates, cost recovery clauses, other regulatory mechanisms or otherwise; impact of political, regulatory and economic factors on regulatory decisions important to NextEra Energy and FPL; risks of disallowance of cost recovery by FPL based on a finding of imprudent use of derivative instruments; effect of any reductions to or elimination of governmental incentives that support renewable energy projects of NextEra Energy Resources, LLC and its affiliated entities (NextEra Energy Resources); impact of new or revised laws, regulations or interpretations or other regulatory initiatives on NextEra Energy and FPL; effect on NextEra Energy and FPL of potential regulatory action to broaden the scope of regulation of OTC financial derivatives and to apply such regulation to NextEra Energy and FPL; capital expenditures, increased cost of operations and exposure to liabilities attributable to environmental laws and regulations applicable to NextEra Energy and FPL; effects on NextEra Energy and FPL of federal or state laws or regulations mandating new or additional limits on the production of greenhouse gas emissions; exposure of NextEra Energy and FPL to significant and increasing compliance costs and substantial monetary penalties and other sanctions as a result of extensive federal regulation of their operations; effect on NextEra Energy and FPL of changes in tax laws and in judgments and estimates used to determine tax-related asset and liability amounts; impact on NextEra Energy and FPL of adverse results of litigation; effect on NextEra Energy and FPL of failure to proceed with projects under development or inability to complete the construction of (or capital improvements to) electric generation, transmission and distribution facilities, gas infrastructure facilities or other facilities on schedule or within budget; impact on development and operating activities of NextEra Energy and FPL resulting from risks related to project siting, financing, construction, permitting, governmental approvals and the negotiation of project development agreements; risks involved in the operation and maintenance of electric generation, transmission and distribution facilities, gas infrastructure facilities and other facilities; effect on NextEra Energy and FPL of a lack of growth or slower growth in the number of customers or in customer usage; impact on NextEra Energy and FPL of severe weather and other weather conditions; risks associated with threats of terrorism and catastrophic events that could result from terrorism, cyber attacks or other attempts to disrupt NextEra Energy's and FPL's business or the businesses of third parties; risk of lack of availability of adequate insurance coverage for protection of NextEra Energy and FPL against significant losses; risk to NextEra Energy Resources of increased operating costs resulting from unfavorable supply costs necessary to provide NextEra Energy Resources' full energy and capacity requirement services; inability or failure by NextEra Energy Resources to hedge effectively its assets or positions against changes in commodity prices, volumes, interest rates, counterparty credit risk or other risk measures; potential volatility of NextEra Energy's results of operations caused by sales of power on the spot market or on a short-term contractual basis; effect of reductions in the liquidity of energy markets on NextEra Energy's ability to manage operational risks; effectiveness of NextEra Energy's and FPL's hedging and trading procedures and associated risk management tools to protect against significant losses; impact of unavailability or disruption of power transmission or commodity transportation facilities on sale and delivery of power or natural gas by FPL and NextEra Energy Resources; exposure of NextEra Energy and FPL to credit and performance risk from customers, hedging counterparties and vendors; risks to NextEra Energy and FPL of failure of counterparties to perform under derivative contracts or of requirement for NextEra Energy and FPL to post margin cash collateral under derivative contracts; failure or breach of NextEra Energy's and FPL's information technology systems; risks to NextEra Energy and FPL's retail businesses of compromise of sensitive customer data; risks to NextEra Energy and FPL of volatility in the market values of derivative instruments and limited liquidity in OTC markets; impact of negative publicity; inability of NextEra Energy and FPL to maintain, negotiate or renegotiate acceptable franchise agreements with municipalities and counties in Florida; increasing costs of health care plans; lack of a qualified workforce or the loss or retirement of key employees; occurrence of work strikes or stoppages and increasing personnel costs; NextEra Energy's ability to successfully identify, complete and integrate acquisitions; environmental, health and financial risks associated with NextEra Energy's and FPL's ownership of nuclear generation facilities; liability of NextEra Energy and FPL for significant retrospective assessments and/or retrospective insurance premiums in the event of an incident at certain nuclear generation facilities; increased operating and capital expenditures at nuclear generation facilities of NextEra Energy or FPL resulting from orders or new regulations of the Nuclear Regulatory Commission; inability to operate any of NextEra Energy Resources' or FPL's owned nuclear generation units through the end of their respective operating licenses; liability of NextEra Energy and FPL for increased nuclear licensing or compliance costs resulting from hazards posed to their owned nuclear generation facilities; risks associated with outages of NextEra Energy's and FPL's owned nuclear units; effect of disruptions, uncertainty or volatility in the credit and capital markets on NextEra Energy's and FPL's ability to fund their liquidity and capital needs and meet their growth objectives; inability of NextEra Energy, FPL and NextEra Energy Capital Holdings, Inc. to maintain their current credit ratings; risk of impairment of NextEra Energy's and FPL's liquidity from inability of creditors to fund their credit commitments or to maintain their current credit ratings; poor market performance and other economic factors that could affect NextEra Energy's and FPL's defined benefit pension plan's funded status; poor market performance and other risks to the asset values of NextEra Energy's and FPL's nuclear decommissioning funds; changes in market value and other risks to certain of NextEra Energy's investments; effect of inability of NextEra Energy subsidiaries to upstream dividends or repay funds to NextEra Energy or of NextEra Energy's performance under guarantees of subsidiary obligations on NextEra Energy's ability to meet its financial obligations and to pay dividends on its common stock; and effect of disruptions, uncertainty or volatility in the credit and capital markets of the market price of NextEra Energy's common stock. NextEra Energy and FPL discuss these and other risks and uncertainties in their annual report on Form 10-K for the year ended December 31, 2011 and other SEC filings, and this press release should be read in conjunction with such SEC filings made through the date of this press release. The forward-looking statements made in this press release are made only as of the date of this press release and NextEra Energy and FPL undertake no obligation to update any forward-looking statements.

SOURCE NextEra Energy Resources, LLC

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@BigDataExpo Stories
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data...
The web app is agile. The REST API is agile. The testing and planning are agile. But alas, data infrastructures certainly are not. Once an application matures, changing the shape or indexing scheme of data often forces at best a top down planning exercise and at worst includes schema changes that force downtime. The time has come for a new approach that fundamentally advances the agility of distributed data infrastructures. Come learn about a new solution to the problems faced by software organ...
The buzz continues for cloud, data analytics and the Internet of Things (IoT) and their collective impact across all industries. But a new conversation is emerging - how do companies use industry disruption and technology enablers to lead in markets undergoing change, uncertainty and ambiguity? Organizations of all sizes need to evolve and transform, often under massive pressure, as industry lines blur and merge and traditional business models are assaulted and turned upside down. In this new da...
Electric power utilities face relentless pressure on their financial performance, and reducing distribution grid losses is one of the last untapped opportunities to meet their business goals. Combining IoT-enabled sensors and cloud-based data analytics, utilities now are able to find, quantify and reduce losses faster – and with a smaller IT footprint. Solutions exist using Internet-enabled sensors deployed temporarily at strategic locations within the distribution grid to measure actual line lo...
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome,” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
You have your devices and your data, but what about the rest of your Internet of Things story? Two popular classes of technologies that nicely handle the Big Data analytics for Internet of Things are Apache Hadoop and NoSQL. Hadoop is designed for parallelizing analytical work across many servers and is ideal for the massive data volumes you create with IoT devices. NoSQL databases such as Apache HBase are ideal for storing and retrieving IoT data as “time series data.”
There are many considerations when moving applications from on-premise to cloud. It is critical to understand the benefits and also challenges of this migration. A successful migration will result in lower Total Cost of Ownership, yet offer the same or higher level of robustness. Migration to cloud shifts computing resources from your data center, which can yield significant advantages provided that the cloud vendor an offer enterprise-grade quality for your application.
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability. In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi's VP Business Development and Engineering, will explore the IoT cloud-based platform technologies driv...
The Internet of Everything is re-shaping technology trends–moving away from “request/response” architecture to an “always-on” Streaming Web where data is in constant motion and secure, reliable communication is an absolute necessity. As more and more THINGS go online, the challenges that developers will need to address will only increase exponentially. In his session at @ThingsExpo, Todd Greene, Founder & CEO of PubNub, will explore the current state of IoT connectivity and review key trends an...
The IoT market is on track to hit $7.1 trillion in 2020. The reality is that only a handful of companies are ready for this massive demand. There are a lot of barriers, paint points, traps, and hidden roadblocks. How can we deal with these issues and challenges? The paradigm has changed. Old-style ad-hoc trial-and-error ways will certainly lead you to the dead end. What is mandatory is an overarching and adaptive approach to effectively handle the rapid changes and exponential growth.
Mobile, social, Big Data, and cloud have fundamentally changed the way we live. “Anytime, anywhere” access to data and information is no longer a luxury; it’s a requirement, in both our personal and professional lives. For IT organizations, this means pressure has never been greater to deliver meaningful services to the business and customers.
In recent years, at least 40% of companies using cloud applications have experienced data loss. One of the best prevention against cloud data loss is backing up your cloud data. In his General Session at 17th Cloud Expo, Bryan Forrester, Senior Vice President of Sales at eFolder, will present how organizations can use eFolder Cloudfinder to automate backups of cloud application data. He will also demonstrate how easy it is to search and restore cloud application data using Cloudfinder.
Achim Weiss is Chief Executive Officer and co-founder of ProfitBricks. In 1995, he broke off his studies to co-found the web hosting company "Schlund+Partner." The company "Schlund+Partner" later became the 1&1 web hosting product line. From 1995 to 2008, he was the technical director for several important projects: the largest web hosting platform in the world, the second largest DSL platform, a video on-demand delivery network, the largest eMail backend in Europe, and a universal billing syste...
The enterprise is being consumerized, and the consumer is being enterprised. Moore's Law does not matter anymore, the future belongs to business virtualization powered by invisible service architecture, powered by hyperscale and hyperconvergence, and facilitated by vertical streaming and horizontal scaling and consolidation. Both buyers and sellers want instant results, and from paperwork to paperless to mindless is the ultimate goal for any seamless transaction. The sweetest sweet spot in innov...
The IoT is upon us, but today’s databases, built on 30-year-old math, require multiple platforms to create a single solution. Data demands of the IoT require Big Data systems that can handle ingest, transactions and analytics concurrently adapting to varied situations as they occur, with speed at scale. In his session at @ThingsExpo, Chad Jones, chief strategy officer at Deep Information Sciences, will look differently at IoT data so enterprises can fully leverage their IoT potential. He’ll sha...
There will be 20 billion IoT devices connected to the Internet soon. What if we could control these devices with our voice, mind, or gestures? What if we could teach these devices how to talk to each other? What if these devices could learn how to interact with us (and each other) to make our lives better? What if Jarvis was real? How can I gain these super powers? In his session at 17th Cloud Expo, Chris Matthieu, co-founder and CTO of Octoblu, will show you!
Recently announced Azure Data Lake addresses the big data 3V challenges; volume, velocity and variety. It is one more storage feature in addition to blobs and SQL Azure database. Azure Data Lake (should have been Azure Data Ocean IMHO) is really omnipotent. Just look at the key capabilities of Azure Data Lake:
SYS-CON Events announced today that ProfitBricks, the provider of painless cloud infrastructure, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. ProfitBricks is the IaaS provider that offers a painless cloud experience for all IT users, with no learning curve. ProfitBricks boasts flexible cloud servers and networking, an integrated Data Center Designer tool for visual control over the...
SYS-CON Events announced today that IBM Cloud Data Services has been named “Bronze Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. IBM Cloud Data Services offers a portfolio of integrated, best-of-breed cloud data services for developers focused on mobile computing and analytics use cases.
SYS-CON Events announced today that Sandy Carter, IBM General Manager Cloud Ecosystem and Developers, and a Social Business Evangelist, will keynote at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.

Tweets by @BigDataExpo

@BigDataExpo Blogs
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability. In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi's VP Business Development and Engineering, will explore the IoT cloud-based platform technologies driving this change including privacy controls, data transparency and integration of real time context w...
Today’s connected world is moving from devices towards things, what this means is that by using increasingly low cost sensors embedded in devices we can create many new use cases. These span across use cases in cities, vehicles, home, offices, factories, retail environments, worksites, health, logistics, and health. These use cases rely on ubiquitous connectivity and generate massive amounts of data at scale. These technologies enable new business opportunities, ways to optimize and automate, along with new ways to engage with users.
I was recently watching one of my favorite science fiction TV shows (I’ll confess, ‘Dr. Who’). In classic dystopian fashion, there was a scene in which a young boy is running for his life across some barren ground in a war-ravaged world. One of his compatriots calls out to him to freeze, not to move another inch. The compatriot warns the young boy that he’s in a field of hand mines (no, that is not a typo, he did say hand mines). Slowly, dull gray hands with eyes in the palm start emerging from the ground around the boy and the compatriot. Suddenly, one of the hands grabs the compatriot and pu...
Recently announced Azure Data Lake addresses the big data 3V challenges; volume, velocity and variety. It is one more storage feature in addition to blobs and SQL Azure database. Azure Data Lake (should have been Azure Data Ocean IMHO) is really omnipotent. Just look at the key capabilities of Azure Data Lake:
DevOps Summit at Cloud Expo 2014 Silicon Valley was a terrific event for us. The Qubell booth was crowded on all three days. We ran demos every 30 minutes with folks lining up to get a seat and usually standing around. It was great to meet and talk to over 500 people! My keynote was well received and so was Stan's joint presentation with RingCentral on Devops for BigData. I also participated in two Power Panels – ‘Women in Technology’ and ‘Why DevOps Is Even More Important than You Think,’ both featuring brilliant colleagues and moderators and it was a blast to be a part of.
It’s not hard to find technology trade press commentary on the subject of Big Data. Variously defined (in non-technical terms) as the cluttered old shoebox of all data – and again (in more technical terms) as that amount of data that does not comfortably fit into a standard relational database for storage, processing and analytics within the normal constraints of processing, memory and data transport technologies – we can say that Big Data is an oft mentioned and sometimes misunderstood subject.
“Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications and services) that can be rapidly provisioned and released with minimal management.” While this definition is broadly accepted and has, in fact, been my adopted standard for years, it only describes technical aspects of cloud computing. The amalgamation of technologies used to deliver cloud services is not even half the story. Above all else, the successful employment requires a tight linkage to the econ...
Developing software for the Internet of Things (IoT) comes with its own set of challenges. Security, privacy, and unified standards are a few key issues. In addition, each IoT product is comprised of at least three separate application components: the software embedded in the device, the backend big-data service, and the mobile application for the end user's controls. Each component is developed by a different team, using different technologies and practices, and deployed to a different stack/target - this makes the integration of these separate pipelines and the coordination of software upd...
All we need to do is have our teams self-organize, and behold! Emergent design and/or architecture springs up out of the nothingness! If only it were that easy, right? I follow in the footsteps of so many people who have long wondered at the meanings of such simple words, as though they were dogma from on high. Emerge? Self-organizing? Profound, to be sure. But what do we really make of this sentence?
Too many multinational corporations delete little, if any, data even though at its creation, more than 70 percent of this data is useless for business, regulatory or legal reasons.[1] The problem is hoarding, and what businesses need is their own “Hoarders” reality show about people whose lives are driven by their stuff[2] (corporations are legally people, after all). The goal of such an intervention (and this article)? Turning hoarders into collectors.
Disaster recovery (DR) has traditionally been a major challenge for IT departments. Even with the advent of server virtualization and other technologies that have simplified DR implementation and some aspects of on-going management, it is still a complex and (often extremely) costly undertaking. For those applications that do not require high availability, but are still mission- and business-critical, the decision as to which [applications] to spend money on for true disaster recovery can be a struggle.
SCOPE is an acronym for Structured Computations Optimized for Parallel Execution, a declarative language for working with large-scale data. It is still under development at Microsoft. If you know SQL then working with SCOPE will be quite easy as SCOPE builds on SQL. The execution environment is different from that RDBMS oriented data. Data is still modeled as rows. Every row has typed columns and eveyr rowset has a well-defined schema. There is a SCOPe compiler that comes up with optimized execution plan and a runtime execution plan.
If you’re running Big Data applications, you’re going to want to look at some kind of distributed processing system. Hadoop is one of the best-known clustering systems, but how are you going to process all your data in a reasonable time frame? MapReduce has become a standard, perhaps the standard, for distributed file systems. While it’s a great system already, it’s really geared toward batch use, with jobs needing to queue for later output. This can severely hamper your flexibility. What if you want to explore some of your data? If it’s going to take all night, forget about it.
Organizations already struggle with the simple collection of data resulting from the proliferation of IoT, lacking the right infrastructure to manage it. They can't only rely on the cloud to collect and utilize this data because many applications still require dedicated infrastructure for security, redundancy, performance, etc. In his session at 17th Cloud Expo, Emil Sayegh, CEO of Codero Hosting, will discuss how in order to resolve the inherent issues, companies need to combine dedicated and cloud solutions through hybrid hosting – a sustainable solution for the data required to manage I...
In his session at @ThingsExpo, Tony Shan, Chief Architect at CTS, will explore the synergy of Big Data and IoT. First he will take a closer look at the Internet of Things and Big Data individually, in terms of what, which, why, where, when, who, how and how much. Then he will explore the relationship between IoT and Big Data. Specifically, he will drill down to how the 4Vs aspects intersect with IoT: Volume, Variety, Velocity and Value. In turn, Tony will analyze how the key components of IoT influence Big Data: Device, Connectivity, Context, and Intelligence. He will dive deep to the matrix...

About @BigDataExpo
Big Data focuses on how to use your own enterprise data – processed in the Cloud – most effectively to drive value for your business.