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If you have been bogged by the enormous electricity bills you have been getting, it is time to take some concrete steps. You can reduce your electricity bills by following very simple steps.
This article will list some simple, easy-to-do things to reduce your electricity bill.
Limited use: Start with the room you are sitting in. If you were to take a call in another room or join your family at the dining table, would you just step out of your room without any concern for the electrical appliances in the room? If you would, stop right there, and look around. Switch off all the appliances even if you would be back in five minutes. Yes, even that will help. Every drop of water constitutes to the ocean.
Another thing to take care of here is what you perceive as an electronic appliance. Would you switch off the television set, turn off the fan, but not the light bulb? Yes, you need light, but not now when you are leaving the room. Taking care of these small things will go a long way in reducing the dreaded huge electricity bills.
Smart investments: Make some smart power investments by replacing your incandescent bulbs with compact fluorescent light (CFL) bulbs. These bulbs are a great power-saving investment.
Buy the Power Save gadget. The gadget helps monitor the power supply to your house and uses the minimum that is needed.
Home appliance usage: Most of us complain that the electricity bill touches the sky because of the number of electrical appliances they have at home. However, the electricity bill is not directly proportional to the number of gadgets you use but the way you use them. Let’s see how you can avoid the typical power-wasters.
• Use the washing machine only when there is a full load of clothes.
• Keep the geyser on for the minimal amount of time.
• Keep the air-conditioner at the minimum low or high temperature, just enough to keep you off the heat or the cold outside.
• Switch off the computer monitor even when you take a one-minute break. It takes just a second to switch on the monitor again!
Yeah, you have to stick to this way of life for saving power at home and for the world.
Remember, reducing your electricity bill is equivalent to saving power, thus helping the world save power for its future generations.
Make power at home with solar and wind energy to eliminate your power bill. Get our complete guide at:
Make power at home
Finding free weather reports when you’re away from home can be annoying. Searching for a radio station that has a weather report when you want to hear it can be a difficult task.
Now you can get a forecast toll-free for any U.S. city. Here's how.
Step1: Dial 1-800-555-8355. This will take you to an automated service that is free of charge.
Step2: Wait until you hear the voice on the other end of the phone say the phrase “main menu.”
Step3: Once the voice says “main menu,” say the word “news” into your phone. This will take you to the service’s news center.
Step4: Say the phrase “weather” into your phone. This will take you to the service’s weather center.
Step5: Say the name of your city and state or simply enter your zip code by punching the five-digit number into your phone.
Step6: Once the weather report has finished, hang up your phone to end the call.
Please note that these products are experimental and not official forecasts. More information is available in the U.S., please refer to the National Weather Service and National Hurricane Center. Please note that these products are experimental and not official forecasts. For official forecasts in the U.S., please refer to the National Weather Service and National Hurricane Center. These data were not necessarily accepted into the GFS model.
Search field for weather information. The output fields are consistent with other models so the models can be compared. Search by city and state. For official forecasts in the table below. These data were not necessarily accepted into the GFS model. Search field for weather information. The output fields are consistent with other models so the models can be compared. Search by city and state. To view model images, click on the desired image resolutions in the table below. More information is available in the Product Description Document NEW: GEFS graphics now include mean and spread for temperature, height, and vorticity at 500mb, 700mb and 850mb, as well as dominant precipitation type. Please note that these products are experimental and not official forecasts. This page presents operational model fields that are being used in a study examining their forecast ability for tropical cyclogenesis in the U.S., please refer to the National Weather Service and National Hurricane Center.
To view model images, click on the desired image resolutions in the eastern Pacific and northern Atlantic basins. This page presents operational model fields that are being used in a study examining their forecast ability for tropical cyclogenesis in the Product Description Document NEW: GEFS graphics now include mean and spread for temperature, height, and vorticity at 500mb, 700mb and 850mb, as well as dominant precipitation type. To view model images, click on the desired image resolutions in the eastern Pacific and northern Atlantic basins. For official forecasts in the Product Description Document NEW: GEFS graphics now include mean and spread for temperature, height, and vorticity at 500mb, 700mb and 850mb, as well as dominant precipitation type. These data were not necessarily accepted into the GFS model. Search field for weather information. The output fields are consistent with other models so the models can be compared.
Search by city and state. This page presents operational model fields that are being used in a study examining their forecast ability for tropical cyclogenesis in the table below. This page presents operational model fields that are being used in a study examining their forecast ability for tropical cyclogenesis in the eastern Pacific and northern Atlantic basins. This page presents operational model fields that are being used in a study examining their forecast ability for tropical cyclogenesis in the eastern Pacific and northern Atlantic basins. This page presents operational model fields that are being used in a study examining their forecast ability for tropical cyclogenesis in the eastern Pacific and northern Atlantic basins. For official forecasts in the eastern Pacific and northern Atlantic basins. These data were not necessarily accepted into the GFS model.
Search field for weather information. The output fields are consistent with other models so the models can be compared. Search by city and state. To view model images, click on the desired image resolutions in the table below. More information is available in the Product Description Document NEW: GEFS graphics now include mean and spread for temperature, height, and vorticity at 500mb, 700mb and 850mb, as well as dominant precipitation type. Please note that these products are experimental and not official forecasts. More information is available in the U.S., please refer to the National Weather Service and National Hurricane Center. Please note that these products are experimental and not official forecasts. This page presents operational model fields that are being used in a study examining their forecast ability for tropical cyclogenesis in the U.S., please refer to the National Weather Service and National Hurricane Center. More information is available in the eastern Pacific and northern Atlantic basins.
By: Ckint Jhonson
Do you think better weather forecasting requires a degree in meteorology? Maybe a degree in statistical analysis would be more helpful. Consider this following new way to forecast the weather with more accuracy and less knowledge.
Friday, February 2, 2007 - Canon City, Colorado. I brought in my Canon City Daily Record from the porch when it arrived, at about 3 in the afternoon. I opened the newspaper to the page with the weather forecast, wondering how cold it would be the following day.
The paper forecast a high temperature was 13 degrees Fahrenheit. I knew this was way too low. Forecasts on television and on the internet said that we would reach 23 or 27 degrees the following day. I knew they were also too low, and I told my wife it would be in the 30s at least. The actual high temperature the next day was 53 degrees Fahrenheit.
No, that's not a typo. The various weather forecasting "experts" were off by as much as 40 degrees - and that was for a simple 24-hour forecast. How could they be so far off? And how could I be better than them at forecasting the weather?
I can't answer the first question. The weather here is more unpredictable than in most places. Also, perhaps the meteorologists follow there computer models too slavishly, even when their experience and intuition tell them to adjust the forecast.
However, I can answer the second question. My guess was closer because the forecasters were so consistent in the way they made their errors. Around this time, I remember counting something like 15 out of 20 days when all the various weather forecasts predicted a high temperature that was 5 degrees or more too low. All I needed to do was take the highest temperature forecast and add five degrees.
A New Weather Forecasting Model
Consistency in their errors was the key to my success. They weren't forecasting too high one day and too low the next. They were wrong in the same ways over and over.
Are the errors as consistent in other parts of the country? That could be determined by looking at the statistics. Check the forecast highs and lows for the last 365 days, and check the actual temperatures for those days. See what the predicted probabilities of rain or snow were, and what actually happened.
Suppose that of the last 24 times a forecaster predicted a 50% chance of rain, it actually rained 18 times. He may have the best data, but he may be too conservative in how he uses it. Suppose this was not a fluke - which can be determined by doing more statistical analysis. You could know nothing about weather forecasting and provide a more accurate forecast simply by saying "A 75% chance of rain tomorrow" every time he said there was a 50% chance, right?
That's the basis for this new forecasting model. First gather the statistical information on the forecasts of several weather forecasting services or meteorologists. Compare this to the actual weather that happened, and look for any consistencies in the inaccuracies. Then you create a computer program. As you enter each of these forecasts into it, they are adjusted for known tendencies. The result is a more accurate forecast.
If Forecaster A has managed over the last year to forecast a high that averages 4 degrees over the actual high, the computer adjusts for that. More sophisticated analysis might show that Forecaster B is consistently predicting a higher probability of rain than there is in the fall, but a lower probability of rain than there actually is in the spring. The computer can take this into account. Finally, it may work best if the adjusted forecasts of three or more sources are then averaged.
There really is no need to know anything at all about weather forecasting. This is based on the idea that even when experts have all the best knowledge and data, they sometimes apply it incorrectly, and do so in consistent ways. Don't be surprised if some television stations get rid of their meteorologists and take advantage of this new weather forecasting idea.
"Now your electronic weather forecast, from our Statistical Analysis Weather Machine."
About the author:
Copyright Steve Gillman
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