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Representative period selection for power system planning using autoencoder-based dimensionality reduction
However, such representative period selection (RPS) methods are limited by the declining efficacy of the clustering algorithm with increasing dimensionality of the input data and do not consider the relative importance of input data variations on CEM outcomes.
Decision making under uncertainty for deploying battery storage as a non-wire alternative in distribution networks
The growing demand for electricity in emerging markets and developing economies (EMDE) such as India is causing loading and congestion problems on distribution networks, particularly in urban locations, that adversely impact sustainable development and economic growth.
Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption
India is expected to witness rapid growth in electricity use over the next two decades.
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