Part A: Briefly identify the key contributions of the paper
–What research problem does it try to solve?
1- To satisfy the environmental energy demand.
2- Requirements to improve this system by increasing weather forecast accuracy
3- Usage of the sensors to provide information
–Why is it an important problem?
1- The energy demand of the system is challenging based on the elasticity and the hardware of it.
2- The energy demand and the predictions must be match to prevent battery depletion.
3- The system must be sustainable to continue its regular operations.
–What’s the proposed approach?
A model is created by using weather forecast and energy harvesting data.  Solar and wind powered sensor systems are used to evaluate this model.

•Part B: Try to find if there is any problem in the paper
–Any problems in the assumptions?
A simple approximation is used to assume the change in position of the sun related to specific the location. This assumption might not be accurate because the maximum possible solar power is related to multiple factors like time of the day, day of the month, month of the year and geographical location. In the paper, a single sunny day with no cloud is selected but at least the time wasn’t be taken into account.
–Any technical shortcomings or drawbacks?
The solar panel deployment has not been active for whole year. I think that it is a technical drawback because the data, which collected from it, will be used to construct the model.
–Do the experimental results support the original claim?
Yes. The experimental results satisfy the expected results.
•Part C: Any idea for improvement?
–Any improvement in the assumption?
A higher accurate model can be used to assume the computing the maximum possible solar power.
–Any new techniques? design?
Hardware design might be changed to improve the accuracy rate of the predictions.
–Any new evaluation method?
Different data mining algorithms can be used the test the accuracy of the model.