Naperville Smart Meters Keep Track of Household Activities

Privacy Problem ClipartNAPERVILLE, IL — Over the past year, the City of Naperville and its municipally owned utility have installed smart meters for nearly all residents.  In an attempt to resolve some concerns related to the City no longer documenting  “current” and “previous” electrical usage meter readings on monthly bills, one resident sent the City of Naperville a Freedom of Information Act (FOIA) request in an attempt to obtain this information for her account.  What she received back was a month’s worth of 15-minute interval usage amounts in kWh, literally thousands of numbers with no associated meter readings.  The resident sent the information to me to determine what sense I could make of the numbers and to show me that the actual meter readings were not included with the 67-page document that she had received from the City.

Part of my response back to the resident was, “OK, Yes I agree there is a problem with the type of data you are provided through the attached data sheet since it is only 15 minute increments,” with no actual cumulative meter readings.

The granular energy usage data for the first page of the document I had been sent was for April 26, 2013.  I scanned it for a few seconds and noted clear patterns in the numbers (and without initially graphing the information) wrote the following message to the Naperville resident:

Incidentally, for example, it appears on April 26, you got up pretty early?  You have increased energy usage starting at about 4:30 am.  Do you [normally] get up that early?  Particularly high usage from 5:45 am to 6:00 am. … Then it looks like no one was home from about 8:30 am until 3:00 pm.  You likely went to bed about 10:15.  Does that sound about right?”

The resident wrote back and was quite shocked at what I was able to deduce from just a quick scan of the information I had been sent.  In addition, she confirmed my clock times on household activities, even verifying with some debit card receipts that she was not home for the timeframe I indicated from about 8:30 in the morning until 3:00 in the afternoon.

Naperville Resident Power Usage Apr 26 2013

I later graphed the 15 minute interval usage numbers for April 26, 2013, as shown in the figure above.  Without any special software or analysis, it is quite easy to infer human behavior from the graph.  It is clear that people in the family arose at 4:30 am and started their day with the typical activities of bathing and meal or coffee preparation.  From this graph I can’t say exactly what appliance is being used when, but the graph clearly reveals discrete human activity.  It is also clear that there is little or no human activity from about 8:30 am (maybe 8:15) until 3:00 pm.  You can also see how the usage readings abruptly drop off at 10:15 pm indicating that the family is retiring for the evening.

Let’s pick a different day of April 28, 2013, for the same Naperville resident.  See the difference?   The home is unoccupied.  There are no characteristic peak energy usage readings.  What you see is a levelized load with intermittent peaks associated with a refrigerator and probably some other appliance.   It doesn’t take a rocket scientist to discern that the home is now unoccupied and is more vulnerable to having an undetected burglary take place.

Naperville Resident Power Usage Apr 28 2013

For me personally, the type of information (as shown above) is exactly what I do not want other people to have.  I don’t want other people to be able to discern when I get up in the morning or when I go to bed.  When I go on vacation, I don’t want the ability for other people, no matter who they are, to be able to tell when (or confirm when) the house is either occupied or unoccupied.   I consider this a clear invasion of privacy and a threat to both personal security and the security for the home and property.

Since I am on a fixed rate pricing program for electrical energy usage, there is no business relationship basis for the utility to collect thousands of data points per month.  The utility only needs one data point per month to be able to calculate my monthly utility bill.

In response to a question about whether the utility can “know when I’m home,” the City states (as shown in the figure below) that “The utility cannot detect the presence of people in their homes.”   This response is a falsehood.  It is propaganda.  It is a lie.  If people are alive and using electricity, their presence is detected and behavior can be inferred.

The City also states that “generally” you can not “tell what I’m doing in my house.”  So in the answer to the second question, the City hedges a bit.  The word generally means “not in a specific or detailed way.”  My main point here is that if I can determine, using simple analysis, within a few minutes of the exact time of when someone gets up in the morning, when they leave the house, when they get back home, and when they retire to bed, … then that is much more specific and detailed than is acceptable to me.  How about for you?

NSGI Q and A on Privacy

The City states that detailed energy usage information is collected so that “Customers are empowered to securely track their energy use online.”

Madigan PhotoWell, in the words of the Illinois Attorney General, “The utilities want to experiment with expensive and unproven smart grid technology, yet all the risk for this experiment will lie with consumers. …  The pitch is that smart meters will allow consumers to monitor their electrical usage, helping them to reduce consumption and save money. …  Consumers [and taxpayers] don’t need to be forced to pay billions for so-called smart technology to know how to reduce their utility bills.  We know to turn down the heat or air conditioning and shut off the lights.”

[Reference:  http://lisamadigan.org/Newsroom/lisainthenews/item/2011-06-lisa-madigan-opinion-editorial-comed-experiment-too.]

Let me be clear.  Smart meter data can be used by others either maliciously or inadvertently using existing or developing technology in an unauthorized fashion to infer types of activities or occupancy of a home for specific periods of timeIt is also possible that such information can be sought for legal proceedings as evidence to prove or disprove certain propositionsFor example, were you home on the night in question for the alleged crimeFor utilities or others to deny these legitimate concerns is evidence of obfuscation, essentially hiding the truth from the consumer.

Supplemental Information on How Specific Appliance Usage Can Be Determined

In addition to the standard “real power” readings measured in kWhrs, the City of Naperville smart meters also collect information related to a parameter called reactive power (not provided to the Naperville resident through the FOIA request mentioned above).  The real power readings in combination with reactive power readings create the potential to reveal additional information from smart meter data, including specific appliance usage.

“Non-intrusive appliance load monitoring (NALM) is a convenient approach to determine the energy consumption of individual appliances.  The NALM employs only a single point of measurement, e.g., at the main electrical service entry point of the home, which does not require installing meters on each individual appliance. …  Each appliance has electrical features that can be used as a unique ‘signature’ to recognize its contribution in the overall consumption.  The most well developed NALM technique utilizes the signature given by the real and reactive power of the appliance during its steadystate operation.”  [emphasis added]  [Reference Citation:  “Compressive Sampling for Non-Intrusive Appliance Load Monitoring (NALM) Using Current Waveforms,” Wang, Y. et. al., dated June 2012, ACTA Press.]

Essentially, Naperville smart meter data in combination with a backend computer analysis can reveal individual appliance signatures.  Refer to the figure below for a somewhat simplistic and conceptual illustration of how appliances have “signatures.”

Real vs Reactive Power

A related (and possibly even more concise) blog posting has been added entitled,”Smart Meter Reports That Naperville Home May Be Vulnerable to Weekend Burglary,” at the following link:  http://thetruthaboutsmartgrids.org/2013/10/16/smart-meter-robbery/.

About SkyVision Solutions

Raising public awareness and finding solutions for smart grid issues related to invasions of privacy, data security, cyber threats, health and societal impacts, as well as hazards related to radiofrequency (RF) radiation emissions from all wireless devices, including smart meters.
This entry was posted in Smart Grid, Smart Meters, and RF Emissions and tagged , , . Bookmark the permalink.

11 Responses to Naperville Smart Meters Keep Track of Household Activities

  1. Pingback: Smart Meters - More Bad News for Pennsylvanians - Watchdog Wire - Pennsylvania

  2. Bob Bichen says:

    This is the purpose of “smart” meters. It’s a technocrat’s wet dream. The goal is to monitor everything you do in your own home with the ultimate goal of total control over your living habits by technocrats who believe they have the right to determine how and when you consume energy. It must be stopped. We have been repeatedly lied to by our governments, our utility companies, and the corporations that profit from this technology. It’s about CONTROL. The coming “smart” appliances will further enable this control in a more granular fashion by allowing the utility to control precisely which appliances use how much electricity and when it decides you may use that energy. Your UNalienable rights as a human being are being violated. George Orwell was an optimist. This could be the most important battle of our lives for our freedom and democracy but very few realize it.

    • Good points. This blog posting was intended to provide a “real life” example of how smart meters unnecessarily invade behavioral privacy. It is evident, however, that the long-term objective for installation of these devices is behavior modification, rationing of energy, and “control,” not for the consumer but for the government and the utility.

  3. warren h says:

    I could gather enough data to make the same inferences you made just from paying attention to my neighbors. lights on in different rooms, lights off, coming and going, cars in driveways etc…not sure what your point is.

    • I thought my “point” was fairly clear where I said that smart meter data can be used by others either maliciously or inadvertently using existing or developing technology in an unauthorized fashion to infer types of activities or occupancy of a home for specific periods of time and that utilities should not deny these legitimate concerns as if they don’t exist. Smart meters generally collect thousands of data points per month on each household which is not necessary for billing purposes. It is therefore an UNNECESSARY invasion of privacy. Although you may “pay attention” to your neighbors, there is a point where you may cross the line and that “data gathering” becomes unwanted surveillance and stalking.

      Another “point” of the posting is to demonstrate with a “real life” example of what can easily be gleaned from smart meter data. People can then more intelligently make up their own minds whether the collection of such data is a concern for them.

    • This data can be used to track behavior patterns, including implied sexual activity, for example when a single man has a hairdryer show up in his usage profile, and longer lighting time or two showers, etc. With a cellphone identifier, a profile would be used in many ways, among them blackmail.

      I wondered if the woman in the article who had gotten up early one morning had the same realization. Although my friend stated we could all hide in the dark and take group showers, the implications are alarming to me.

      Government should be transparent, citizen’s lives should be private.

      • Based upon the information presented in this blog posting, it is a significant invasion of privacy to essentially have it recorded in perpetuity when I was home; when I was bathing; when I was away from home for extended periods of time; when I was sleeping and for how many hours per night, and generally what types of appliances were operating in my home at any given time. This degree of data collection in itself could be considered “stalking” by the utility and by anyone else who has access to the data. [I will define “stalking” as listed in Wikipedia as “unwanted or obsessive attention by an individual or group toward another person. Stalking behaviors are related to harassment and intimidation and may include following the victim in person or monitoring them.” ]

        Most smart meters do not currently collect electrical usage information in sufficient granularity to infer sexual habits since it would likely not show up any differently on the load profile than sleeping and other “innocent” behaviors. Such inference would involve a high degree of speculation, but as you say, smart meter data could be combined with other types of surveillance information to support a broader behavioral profile of an individual.

  4. Hi.
    Is there any way you could post a link to the data or spreadsheet, graphs, etc. you used for these highly disturbing graphs? We, in Massachusetts would like to use them but the resolution precludes showing them on TV, etc. (not a criticism). We are at a critical point i.e. on the threshold of deployment – we are trying to raise awareness… and fast.
    Also, I have read that many meters collect five minute increments and can drill down at will (the question is who’s will!) to one minute increments/intervals. Nothing like giving whomever chooses to look a key to your home whenever they feel like it!
    Has Attorney General Madigan commented?
    Thank you.
    HaltMAsmartMeters.org

    • Actually if you click on the charts, they will enlarge; you can also right click on mouse and “save picture as” for the actual image files.

      As a general rule, the ability to discern occupancy and specific activities from smart meters depends on the time resolution of the energy consumption data collected. Daily readings would generally enable one to determine dwelling occupancy over time. As the data collection intervals are further reduced, a load profile is revealed that allows determination of general movement and activities within a dwelling. With further increased granularity of the data, research shows that analyzing 15-minute interval household energy consumption data can by itself pinpoint the use of most major home appliances. Most smart meters that are currently being deployed are not equipped to collect data in one to five minute time intervals, but in many cases, such meters could be upgraded in the future to do so with firmware updates and additional on-board memory capacity.

      [Updated 11/2/13: If a consumer elects to participate in a utility program that includes use of an In-HomeDisplay (IHD) or similar device, it is now my understanding that such devices in combination with smart meters have the capability to collect energy usage information on a minute by minute with possible sharing with third parties; individuals who participate in such programs should be those who desire no privacy whatsoever; there will be an upcoming blog posting that discusses this topic in more detail.]

      I had submitted a consumer complaint to the Attorney General’s Office last year; I received a general response that the AG Office lacked sufficient jurisdiction in the matter (for Naperville), but I doubt if my complaint made it to her personal attention. As the evidence grows, I could make another attempt in the future.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s