LTE Cat–M1 is a cellular technology mainly designed for the Internet of Things (IoT) or machine-to-machine (M2M) communication applications.
Compared to other standard cellular technologies such as 2G, 3G, or LTE Cat 1, LTE Cat-M1 enables longer battery life and extended range and deep penetration in buildings and basements.
The increase in the adoption of IoT/M2M communication solutions, the rise in the demand for longer connectivity, and the need for low-power consumption and low-cost connectivity technologies are driving the market for chipsets based on LTE Cat-M1 technology.
“The market for chipsets based on LTE Cat-M1 technology is expected to grow at the highest CAGR during the forecast period”
Electrical utility operators and engineers familiar with both utility grid operations and with micro-grids.
Operators with current micro-grid projects would be best. Operators with experience deploying renewables in a micro-grid context would be very welcome.
I expect that Hawaii probably has a lead in this space as might Oklahoma and Texas (wind farms).
Vendors to electrical utilities working on micro-grids, especially from the perspective of analytics and management.
Academics or regulatory experts with experience managing utility grids and micro-grids would be helpful.
GRC is the integrated collection of capabilities that enable an organization to reliably achieve objectives, address uncertainty and act with integrity.
GRC as an acronym denotes GOVERNANCE, RISK, and COMPLIANCE .
The acronym GRC was invented as a shorthand reference to the critical capabilities that must work together to achieve Principled Performance — the capabilities thatintegrate the governance, management and assurance of performance, risk, and compliance activities.
This includes the work done by departments like internal audit, compliance, risk,
legal, finance, IT, HR as well as the lines of business, executive suite and the board itself.
ANN may be regarded as an alternative to the standard physical models, particularly in cases where the underlying physics of the system is too complex to analyse. In essence, it is a “black box” model, which mimics the information processing functions of the human neural system. ANN accepts any standard input vector and produces the desired output by processing the input through a series–parallel combination of functional elements, commonly referred as “neurons” or “nodes”. Multilayer perceptron (MLP) neural network is the most widely used ANN architecture. ANN has created newer and massive strides in the field of science.
It has been found to be useful in predicting the survival rate, length of stay in hospitals of patients suffering from trauma or in the intensive care units. ANN being a powerful tool in predicting bivariate models; with recent prediction of the occurrence of heart block and death in patients with myocardial infarctions simultaneously by the use of hybrid models referred to as hybrid ANN-Genetic Algorithm (ANN-GA). ANN has also been successfully used in temperature tracking, constraints and limitations of different products used in summer and winter.
-Deep Neural Network;
-Recurrent Neural Network;
-Dynamic biological networks;
-Adaptive neural processing;