How to Set Up Time of Use Rate Smart Automation in 2026

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By Editorial Team · Updated November 01, 2026

Why Your Electric Bill Changes by the Hour: Time-of-Use Rates Explained

A kilowatt-hour that costs you 12 cents at 2 p.m. can cost 40 cents at 6 p.m. Same wire, same meter, same dishwasher. The only thing that changed is the clock.

That’s a time-of-use (TOU) rate. Instead of one flat price, your utility splits the day into pricing windows, usually off-peak, mid-peak, and on-peak. Peak hours tend to land in the early evening, when people get home, cook, and turn on the air conditioning. Utilities charge more then because the grid is strained and the costliest power plants are running.

Here’s a quick worked example. Running a 1,200-watt dishwasher cycle uses roughly 1.2 kWh. Start it at 6 p.m. on a steep peak rate and you might pay several times what the same cycle costs at 10 p.m. Repeat that across a water heater, an EV charger, and a dryer, and the gap shows up on your statement.

You don’t need to give up comfort to win here. You need your devices to act on the schedule for you. A smart plug, a Google nest thermostat pre-cooling the house before 4 p.m., or an EV charger set to start at midnight can shift load without a single reminder.

How utilities split a 24-hour day into peak and off-peak blocks

Most time-of-use plans carve the day into two to four rate periods, and the boundaries follow how a grid actually gets stressed. Demand climbs when people wake up, dips midday, then spikes again when everyone gets home, cooks dinner, and turns on lights and air conditioning. Utilities price those hours highest because they have to fire up their costliest generation or buy power at premium rates to cover them.

A common layout runs peak from 4 p.m. to 9 p.m. on weekdays, off-peak overnight and through the morning, and a shoulder or mid-peak window filling the gaps. Many utilities also vary the schedule by season, shifting peak later in summer when cooling loads dominate, and treat weekends and holidays as entirely off-peak. Your exact hours live on your rate schedule, so pull it from your utility’s website before building any automation around them.

The 4 p.m. to 9 p.m. window that drives most TOU surcharges

Most time-of-use plans carve the day into off-peak, shoulder, and peak periods, and the peak block almost always lands in the early evening. Many utilities set it somewhere between 4 p.m. and 9 p.m., though the exact hours vary, so check your own rate sheet before building any automation. This is when people get home, cook dinner, run the dishwasher, and crank the thermostat, all while solar output fades. Demand spikes, and the utility prices accordingly.

That concentration is what makes smart automation worth the effort. You don’t need to rework your whole day, only move a handful of heavy loads out of those five hours. A water heater, EV charger, pool pump, and dryer can each be scheduled or locked out during the window. Pre-cooling the house at 2 p.m. instead of running the AC at 6 p.m. often does the most to cut your bill.

Your utility already published the rulebook for your automations. It just buried it in a PDF. Before you buy a single smart plug or write one rule, find the exact TOU schedule tied to your account, because the wrong tariff or a missed season change will wreck every automation built on top of it.

Start at your utility’s website and search for “residential rate schedule.” Names vary by region, such as “E-TOU-C” or “TOU-D-4-9PM,” but each one defines the same three things: price blocks, the hours they cover, and the seasons they apply to. Weekends and holidays often follow different rules, so don’t assume a Tuesday pattern holds on Saturday.

1. Log in and confirm which rate plan your meter is actually on. Your bill lists it near the account summary.
2. Download the current tariff sheet, not a cached copy from a search result.
3. Write down each block’s start time, end time, and price per kWh.
4. Note the season dates, since summer and winter windows often shift by hours.
5. Check the weekend and holiday exceptions at the bottom of the sheet.
6. Look for demand charges or fixed fees, which TOU shifting won’t reduce.

Here is a worked example using made-up round numbers. The structure matches most real tariffs, but yours will differ.

A price gap like that is the whole game. Shifting a 7 kW EV charging session out of the on-peak block saves roughly $1.68 per hour in this example. Keep your decoded table handy. Step 2 feeds these blocks straight into your hub’s schedule logic.

Reading the rate sheet from PG&E, Xcel, or your local provider

Every utility buries the same four facts in its tariff PDF, and you only need those four. First, find the period definitions: which hours count as peak, off-peak, and (on some plans) super off-peak. PG&E’s residential TOU plans, for example, define peak as 4 p.m. to 9 p.m. every day, while other utilities limit peak to weekdays. Second, note whether rates change by season, since summer and winter schedules often use different windows and prices. Third, check the price per kWh in each period, and write down the spread between the cheapest and most expensive; that gap is your automation payoff. Fourth, look for demand charges or fixed fees, which can erase savings if you only shift energy use. Xcel’s plans vary by state, so confirm your exact tariff code on your bill before entering anything into your hub.

Converting per-kWh peak prices into a weekday and weekend grid

Start with your utility’s rate sheet and turn it into a 7-column by 24-row grid, one cell per hour. Fill each cell with the price in effect, then color-code three bands: off-peak, shoulder, and peak. A typical plan might charge 11 cents overnight, 18 cents during shoulder hours, and 34 cents from 4 to 9 p.m. on weekdays. Enter those numbers literally, hour by hour, rather than trusting a summary like “evenings cost more.”

Weekends need their own treatment. Many tariffs flatten Saturday and Sunday to off-peak all day, and holidays often follow the weekend schedule too. If your plan does this, your weekend column will be a single color, which means your automations can run freely instead of waiting for a window. If it doesn’t, copy the weekday pattern across. Once the grid is complete, each colored block becomes a trigger window you can hand directly to your hub’s scheduler.

Your utility already knows when you use the most power. You just haven’t looked. Most smart meters record usage in 15-minute or hourly intervals, and that data is the raw material for every automation rule you’ll build later.

Start by pulling the numbers. In the US, many utilities support the Green Button standard, which exports your interval data as a CSV or XML file. Some also offer an online portal with a bar chart by hour. If your meter has a Zigbee or Wi-Fi gateway, a device like the Emporia Vue or Sense can show per-circuit or per-appliance draw in near real time.

1. Log in to your utility account and download at least 30 days of interval data, ideally during a season with typical weather.
2. Open the file in a spreadsheet and add a column that labels each interval as peak, shoulder, or off-peak, using your rate plan’s published schedule.
3. Sum the kilowatt-hours in each bucket and find the three highest-usage hours on weekdays versus weekends.
4. List every flexible load in your home and note its rated wattage from the nameplate or manual.
5. Match each load to the peak hours it overlaps, and rank them by kWh shifted per cycle.

Not every load is worth chasing. Here’s what tends to matter most:

• Electric dryers often pull around 3 to 5 kW for a full cycle, which makes them prime candidates to delay.
• Level 2 EV chargers commonly draw 7 to 11 kW and can usually be scheduled in the car’s app or on the charger itself.
• Dishwashers have a built-in delay start, so no extra hardware is needed.
• Water heaters can be pre-heated off-peak, then coasted through the evening window.
• Refrigerators and freezers are always-on loads. Leave them alone; shifting them saves little and risks food.

Here’s the counterintuitive part. The biggest peak-hour spike often isn’t a single large appliance. It’s several medium loads stacking at 6 p.m., when the oven, dryer, and HVAC all run together. Your spreadsheet will show that overlap clearly, and it tells you which one device to move first.

Exporting 15-minute interval data from your utility portal

Log into your utility’s customer portal and look for a section labeled “Usage,” “Energy Insights,” or “Green Button.” Most utilities that offer interval metering let you download data in Green Button format, a standardized CSV or XML file, though the exact menu path varies by provider. Choose the 15-minute resolution if it’s offered, since hourly totals will hide the short spikes that matter when you’re scheduling around peak windows.

Pull at least 30 days, and ideally a full billing cycle or two, so you capture weekday and weekend patterns. Download the file and open it in a spreadsheet. Check that timestamps align with your local time zone, because some exports default to UTC, which will skew every peak-hour calculation you run afterward.

If the portal only shows charts and offers no download, call support and ask for interval data by email.

Spotting the appliances that run during the costliest hours

Start by pulling your utility’s rate schedule and marking the peak window, which on many plans falls somewhere between 4 p.m. and 9 p.m. Then walk your home and list everything that draws serious power during those hours. The usual offenders are electric dryers, dishwashers, ovens, EV chargers, water heaters, and pool pumps. A dryer or EV charger can pull 3 to 7 kW, so one cycle at peak pricing can cost more than the rest of your evening combined.

If your smart plugs or panel monitor report usage, sort by consumption and check what spiked during the expensive block. Without monitoring, your utility’s online portal often shows hourly data, and a sharp bump at 6 p.m. usually points to cooking or laundry. Rank each appliance by wattage and by how easily its schedule can shift. A dishwasher that can run at 11 p.m. is an easy win; an oven at dinnertime isn’t. Automate the movable ones first.

A time-of-use schedule only works if your controller can actually talk to the devices you want it to shift. Buy the wrong hub and you’ll end up with a thermostat that obeys, a water heater that doesn’t, and a manual workaround you abandon by March.

Start by writing down what you want to control: the thermostat, EV charger, water heater, pool pump, smart plugs on a dishwasher or dryer. Then check what each one speaks. Most modern gear uses Wi-Fi, Zigbee, Z-Wave, or Matter, the cross-vendor standard launched in late 2022. A Z-Wave switch won’t join a Zigbee-only hub, full stop.

Local control matters more than it sounds. Peak windows are exactly when your internet is most likely to be busy, and a rule that waits on a cloud server can fire late or not at all.

Here’s the order to work through:

1. List every device you want on a schedule and note its protocol on the box or in the app’s settings.
2. Check whether your utility rate plan has an API or published schedule. Some controllers can pull it in; others need you to enter the hours by hand.
3. Pick the controller that covers the most devices without adapters.
4. If a device is Wi-Fi only, confirm the controller has an official or well-maintained integration for that brand.
5. Buy the controller, pair one low-stakes device first (a smart plug works), and confirm it responds to a timed rule before adding the rest.

One tip: if your list is mostly Matter-certified, nearly any hub on the table works. If it includes older Z-Wave relays or a Zigbee water-heater switch, lean toward Home Assistant or Hubitat.

Matter 1.2 and Thread compatibility checks before you buy

Time-of-use automation lives or dies on devices responding fast and locally, so check protocol support before you commit. Matter 1.2 added device types that matter here, including dishwashers, refrigerators, washers, dryers, and air purifiers, so look for those categories on the box or in the manufacturer’s certification listing rather than a vague “Matter-ready” badge. Confirm the exact device type, because a plug that reports on/off only can’t tell your hub when a cycle finishes.

Next, check Thread. Thread-based sensors and plugs form a self-healing mesh, which keeps off-peak schedules firing even when Wi-Fi congests. You need at least one Thread border router, such as a recent HomePod mini, Apple TV, Nest Hub, or Echo model. Verify your controller supports Matter 1.2 firmware too, since older hubs may pair devices but ignore newer clusters, leaving your peak-hour rules unreliable.

Hub-based versus cloud-only automation engines compared

Hub-based systems offer a distinct advantage by maintaining local processing capabilities, which ensures reliability even if your internet connection drops. Cloud-only engines depend entirely on external servers to interpret sensor data and execute commands. While both approaches handle time-of-use rate shifts effectively, the local hub processes automation logic faster and without latency risks tied to broadband outages. For instance, a compatible hub can trigger battery charges during off-peak windows independently, guaranteeing cost savings regardless of network status. Cloud platforms offer easier remote configuration and cross-vendor integration, making initial setup smoother for many users. However, the decision often hinges on preference for immediate response times versus centralized management convenience. A hybrid setup, where the hub handles critical local triggers while syncing logs to the cloud, often provides the best balance. This architecture minimizes downtime risks associated with pure cloud delegation while retaining the accessibility benefits of remote monitoring dashboards for tracking energy consumption patterns over time.

Three devices do most of the work in a time-of-use plan: the water heater, the EV charger, and the HVAC system. Together they usually account for the largest flexible loads in a home, and all three can wait a few hours without you noticing. The goal is simple. Run them when the rate is low, and stay out of the peak window your utility publishes.

Start with the water heater, because it’s the easiest win. A standard 50-gallon tank holds heat for hours, so it works like a thermal battery. A smart relay such as the Aquanta controller or a Sense monitor paired with a smart switch can hold the tank off during peak hours and reheat it just before.

EV charging is the biggest single shift. A Level 2 charger pulling 32 amps at 240 volts draws about 7.7 kW, which can double a household’s peak demand. Many chargers, including the ChargePoint Home Flex and Wallbox Pulsar Plus, have built-in scheduling. Use it, or set the schedule in the car’s own app.

Build the routines in this order:

1. Find your utility’s peak, off-peak, and shoulder windows, and note whether weekends and holidays differ.
2. Set the EV charger to start at the first off-peak minute and finish by your departure time.
3. Schedule the water heater to skip peak hours and heat in the cheapest window.
4. Program the thermostat to pre-cool or pre-heat before peak starts.
5. Add a peak-window rule in Home Assistant, SmartThings, or your hub of choice.
6. Check the first bill cycle and adjust the timing.

A few details trip people up:

• Pre-cool by 2 to 3 degrees in the hour before peak, then let the house drift up by the same amount during it.
• Avoid deep setbacks. Recovering from a big temperature swing can force the compressor to run hard right as peak pricing starts.
• Check whether your utility sets the schedule or the car does. Two competing schedules can cancel each other out.
• Heat pump water heaters need less shifting, since they draw far less power, but electric resistance tanks benefit most.
• Leave a manual override. A guest shower or a surprise road trip shouldn’t mean fighting your own automation.

Test one device a week instead of changing all three at once. That way, if a bill looks off, you know exactly which routine caused it.

Scheduling a heat pump water heater to pre-heat before 4 p.m.

A heat pump water heater is the ideal load to shift because the tank stores energy for hours. Set it to pre-heat during the cheapest window, then let it coast through the peak. If your utility’s peak starts at 4 p.m., schedule the tank to reach its high setpoint, say 140°F, between noon and 3:30 p.m., then drop the setpoint to 120°F or switch to a vacation-style hold until the peak ends.

Most modern units from Rheem, A. O. Smith, and Bradford White expose this through a Wi-Fi app or an OpenADR/CTA-2045 port, so you can build the schedule in the manufacturer’s app or push it from Home Assistant or alexa routines. Add a second rule to stay out of electric resistance mode during the peak, since backup elements erase the savings. Finish by checking the tank at 6 p.m. to confirm hot water lasts through evening showers.

Setting an EV charger to start at the 9 p.m. off-peak switch

Most EV chargers and cars have their own built-in scheduler, but a smart home automation gives you more control because it can react to real conditions. Start with a trigger at 9:00 p.m. (or whatever hour your utility’s off-peak window opens) that tells a smart-capable charger, such as a ChargePoint Home Flex or Wallbox Pulsar, to begin a session. If your charger lacks scheduling, a smart plug won’t do the job safely; use a relay-based unit rated for the load instead.

Add a one-minute buffer, say 9:01, so you don’t start on the last on-peak seconds when clocks drift. Then add a condition: only run if the car is plugged in and the state of charge is below your target. Pair it with a stop trigger at the end of the off-peak window so a long session never spills into peak pricing.

Pre-cooling a home by 2 degrees during the afternoon peak

The simplest automation to build around a time-of-use schedule is a pre-cool routine. If your peak window runs from 4 p.m. to 9 p.m., drop the thermostat setpoint two degrees below your normal target starting around 1 p.m., while rates are still low. Your home’s structure and furnishings absorb that cooler temperature and hold it into the expensive hours. At 4 p.m., the automation raises the setpoint back to normal or a degree or two above, so the compressor stays mostly idle during the peak.

Set the pre-cool to end at least 30 minutes before peak begins, and run it on weekdays only if your utility’s rates are lower on weekends. Check the result on your first hot afternoon: if the house drifts warm before 9 p.m., extend the pre-cool start time rather than deepening the setpoint drop.

A single week of data proves nothing. Weather swings, a houseguest, or one heat wave can bury the effect of your new schedules. Give the automations one full billing cycle, usually 28 to 31 days, before you judge them. Then compare against a baseline you can actually trust.

Start by pulling your last three bills, or your utility’s hourly usage export if it offers one. Most utilities let you download interval data as a CSV, and tools like Home Assistant’s Energy dashboard or Emporia Vue can log the same thing at one-minute resolution. What you want is simple: how many kWh landed in peak, off-peak, and shoulder windows.

1. Record last cycle’s kWh in each rate window as your baseline.
2. Run your automations untouched for the full new cycle.
3. Export the same data and sort it into the same windows.
4. Multiply each window’s kWh by your tariff rate to get cost.
5. Adjust one threshold at a time, then run another cycle.

Here’s a worked example using made-up rates of $0.38 peak and $0.14 off-peak. Swap in your own tariff.

Net result: about $16.80 saved. Peak load fell, off-peak rose, which is exactly the shift you wanted. If peak kWh barely moved, your thresholds are too timid. Try raising the thermostat setback from 2°F to 4°F, or push the EV charger start time back by an hour.

Change only one variable per cycle. Tweak three at once and you won’t know which one worked.

Comparing kWh by time block week over week

Pull your hourly usage data and sort it into the blocks your utility defines: off-peak, mid-peak, and on-peak. Then compare each block to the same block last week, not the weekly total. A total can look flat while the mix underneath shifts in ways that matter to your bill.

Say your on-peak window runs 4 to 9 p.m. and you logged 38 kWh there last week against 31 kWh this week. That 7 kWh drop only counts as a win if the load moved off-peak rather than disappearing because you were away. Check the off-peak block alongside it. If it rose by roughly the same amount, your automations are shifting load the way you intended.

Look for the block that moved against your plan. A dishwasher delayed to 10 p.m. should show up in the cheap block; if on-peak stays stubborn, one device is probably ignoring its schedule.

Tuning automation triggers when a heat wave shifts usage

A schedule that works in April can quietly fall apart in July. During a heat wave, your air conditioner runs longer and earlier, so a pre-cooling trigger set for 2 p.m. may start too late to bank enough cold before a 4 p.m. peak window opens. Shift it earlier, say to 11 a.m., and let the house coast through the expensive hours with the thermostat allowed to drift two or three degrees.

Check your runtime history after the first hot week. If the system never cycles off during peak, your setpoint is too aggressive for the conditions. Raise the peak-hour setpoint a degree or two instead of fighting the load. Also consider adding a temperature condition to your rules, so the heat-wave schedule only activates when the forecast high crosses a threshold you choose. That keeps your normal automation intact once the weather breaks, without manual changes.

Where TOU Automation Backfires: Hidden Costs, Comfort Trade-offs, and Rate Changes

The most common TOU failure isn’t a bad schedule. It’s a good schedule running against a rate plan that changed underneath it. Utilities revise peak windows, and a rule that once dodged the 4-9 p.m. peak can quietly land in the new 5-8 p.m. super-peak, or miss it entirely.

Automation also assumes your usage is flexible. If you shift a dishwasher cycle to 11 p.m., fine. If you pre-cool the house to 68°F at noon and the afternoon runs hotter than forecast, you’ve paid for cooling you didn’t need and may still run the AC during peak. The savings only exist if the plan holds.

Here are the failure points that catch people most often:

• Stale rate windows. Hard-coded times in Home Assistant, SmartThings, or a Google Nest schedule don’t update when your utility does. Check your rate sheet each year.
• Seasonal splits. Many plans use different peak hours in summer and winter. One static rule serves only half the year.
• Demand charges. Some tariffs bill on your highest 15-minute spike. Cramming every appliance into the first minute of off-peak can trigger that charge.
• Battery cycling wear. A Tesla Powerwall or Enphase IQ battery that charges and discharges daily for small price gaps may cost more in degradation than it earns.
• Noise and sleep. A washer or EV charger starting at 2 a.m. may be cheap but annoying. Quiet-hour limits belong in the rule.
• Cloud dependency. If a Wi-Fi outage stops your thermostat from receiving its schedule, it may default to full-price operation.

The fix is boring but effective. Run a comparison for one billing cycle: your actual bill under the automation versus what a flat-rate plan would have charged for the same kWh. If the gap is small, the comfort trade-offs aren’t worth it. Revisit that math whenever the utility mails a tariff notice.

Fixed-fee and demand-charge traps in certain tariffs

Shifting load to off-peak hours only pays off if the tariff’s other charges don’t swallow the savings. Two structures catch people out. The first is a high fixed daily fee: some time-of-use plans lower the per-kWh rate but raise the monthly connection charge, so a low-usage home can pay more overall even with perfect scheduling. The second is the demand charge, which bills you for your highest 15- or 30-minute power draw in the billing period, not just total energy used. One evening where the dryer, oven, and EV charger overlap can set a peak that you pay for all month.

Smart automation helps with the second trap more than the first. Stagger high-draw loads with staggered start times, cap your EV charger’s amperage, and set a whole-home power limit alert. Before you automate anything, compare a full year of your own usage against both the old and new tariffs.

Comfort loss from aggressive HVAC setbacks

Pushing a setback too far is the fastest way to turn a smart schedule into an annoyance. Dropping a winter thermostat from 70°F to 60°F for a four-hour peak window sounds efficient on paper, but a house with a heat pump or slow-responding radiant floor may need hours to recover, and the recovery often lands right after the peak window ends, in the shoulder period where rates are still elevated. You save little and sit in a cold living room for the trouble.

Start with a modest 3 to 4 degree setback and widen it only if the house holds temperature well. Use pre-conditioning to your advantage: shift heating or cooling earlier, before the expensive window begins, so the structure coasts through it. Watch for backup resistance heat kicking in during recovery, since that can erase the savings entirely. If anyone in the household starts overriding the schedule manually, the setback is too aggressive.

Rate plan revisions that can erase a year of savings

A schedule built around your utility’s current rate plan is only as durable as the plan itself. Utilities revise time of use structures regularly, and a single filing can shift peak hours, add a demand charge, or narrow the gap between off-peak and peak pricing. Suppose your automation pre-cools the house from 1 p.m. to 4 p.m. and runs the dishwasher at 9 p.m. If the utility moves the peak window from 4-9 p.m. to 3-10 p.m., your carefully timed loads suddenly land in the expensive tier, and the bill climbs while the dashboard still shows everything running as designed.

The fix is procedural. Read every rate-change notice, usually a bill insert or email, the day it arrives. Keep peak windows and thresholds as editable variables in your automations rather than hardcoded times, so one change updates every routine. Then compare two bills before and after any revision. Savings can quietly vanish within a single billing cycle.

Our Verdict: Which Households Gain Most from Time-of-Use Automation

Time-of-use automation pays off when your flexible load is large and your schedule is loose. It pays off least when you’re home all evening running everything at once. The rate spread between peak and off-peak matters more than any gadget you buy.

Here is where the gains usually land, based on how the loads behave rather than on any single utility’s numbers.

If you own an EV, start there. A car draws more power than most appliances combined, and it doesn’t care when it charges, so shifting it costs you nothing in comfort.

Skip heavy automation if your utility’s peak and off-peak rates sit close together. Check your tariff sheet first. A narrow spread means a simple dishwasher delay captures most of the benefit, and the extra hardware won’t earn its price back.

Best-fit profiles: EV owners and heat pump households

EV owners get the biggest payoff because charging is both large and flexible. A typical home charger draws 7 to 11 kW, and the car doesn’t care whether it fills at 6 p.m. or 2 a.m., as long as it’s full by morning. Set your charger or app to start when the cheap window opens, and the heaviest load in your house shifts entirely off-peak. Most chargers and many vehicles let you schedule this natively, so the automation layer mostly handles the exceptions, like pausing for a demand event or topping up early before a long trip.

Heat pump households benefit differently. The load is steady rather than bursty, but the home itself is a thermal battery. Pre-heating or pre-cooling the house during off-peak hours, then letting the temperature drift during the expensive window, cuts peak consumption without anyone feeling a thing. This works best in well-insulated homes, where the indoor temperature changes slowly. A smart thermostat that supports scheduled setpoints, or one that your hub can control directly, is the key piece.

If you own both, the two stack nicely: stagger their start times so the charger and the heat pump aren’t pulling peak current at the same moment.

When a flat-rate plan still wins

Time-of-use pricing rewards flexibility, and not every household has any to give. If someone is home all day, runs the dishwasher and dryer whenever they fill up, and has no battery or EV to shift load, your usage lands squarely in the expensive window. A peak rate of, say, 40 cents against a flat 18 cents punishes that pattern hard, and no automation can move a load that has to run at 5 p.m.

Run the math before switching. Pull a year of bills, price your actual hourly usage under the TOU schedule, and compare it to the flat plan. If less than a third of your consumption can realistically shift to off-peak hours, flat usually wins. Also watch for fixed fees and seasonal peak windows that eat the savings. Automation helps most when there’s something big to schedule, such as EV charging, a heat pump water heater, or pool pumps. Without those, keep the simple plan.

Related Reading

• Matter Compatible Devices: Complete List 2026
• Home Assistant Yellow vs Green (2026 Guide)
• Smart Home Retrofit vs New Install: The 2026 Comparison Guide
• thread border router explained: the complete 2026 guide
• Best Mesh WiFi for a Smart Home: Systems That Handle Every Device

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About Nick Creighton

Nick Creighton is the founder and editor of Smart Home Wizards. He has followed and worked with home automation technology for several years, and runs a hands-on smart home setup where hubs, lighting, locks, cameras and sensors are installed and tested in daily use. His background is technical — software and automation — which shapes how this site covers protocols like Matter, Thread, Zigbee and Z-Wave: against the published specifications rather than marketing claims. He is responsible for the editorial standards, testing methodology and corrections policy on this site.

Written byNick Creighton

Nick Creighton is the founder and editor of Smart Home Wizards. He has followed and worked with home automation technology for several years, and runs a hands-on smart home setup where hubs, lighting, locks, cameras and sensors are installed and tested in daily use. His background is technical — software and automation — which shapes how this site covers protocols like Matter, Thread, Zigbee and Z-Wave: against the published specifications rather than marketing claims. He is responsible for the editorial standards, testing methodology and corrections policy on this site.