{"_buckets": {"deposit": "1b707777-7f05-4922-938d-96b4f64abb77"}, "_deposit": {"created_by": 20, "id": "8316", "owner": "20", "owners": [20], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "8316"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00008316", "sets": ["1582963436320"]}, "author_link": [], "control_number": "8316", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Forecasting The Electricity Consumption in Myanmar (1961-62 to 2019-2020) (The\u0027 Mya Thawdar Tin, 2022)", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Electricity plays a very important role in the economic development for the\ncountries. This study investigates the forecasting of electricity consumption in\nMyanmar by using annual time series data for the period from 1961-1962 to 2019-\n2020. The secondary data of electricity consumption in Myanmar are obtained from\nMyanmar Statistical Year Books published by Central Statistical Organization,\nMinistry of Planning and Finance. The electricity consumption is one of the most\nimportant energy sources to develop the human living standard, industrialization and\neconomic for a country. Moreover, the electricity consumption is expected to provide\nwell organized planning and policy for the development of the country in future. The\ntime series analysis of electricity consumption in Myanmar are analyzed and based on\nthe most adequate model chosen among ARIMA Model, Brown’s Double\nExponential Smoothing Model and Holt’s Double Exponential Smoothing Model.\nAccording to the results of study, the values of MAE and RMSE for Brown’s Double\nExponential Smoothing Model are smaller than the other models. Therefore, Brown’s\nDouble Exponential Smoothing Model is the most suitable and used to forecast the\nelectricity consumption in Myanmar for the next five years. By the results of the\nstudy, the electricity consumption in Myanmar is likely to continue on an upward\ntrend in the next years."}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2022-10-19"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "The` Mya Thawdar Tin, MAS 17, 2nd Bt..pdf", "filesize": [{"value": "782 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 782000.0, "url": {"url": "https://meral.edu.mm/record/8316/files/The` Mya Thawdar Tin, MAS 17, 2nd Bt..pdf"}, "version_id": "598509e3-c221-4a78-a7a2-1e3ea812eba5"}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "Yangon University of Economics", "subitem_supervisor(s)": [{"subitem_supervisor": "Daw. Khin Thet Tun"}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "The\u0027 Mya Thawdar Tin"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Other"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Thesis"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2022-07-01"}, "item_title": "Forecasting The Electricity Consumption in Myanmar (1961-62 to 2019-2020) (The\u0027 Mya Thawdar Tin, 2022)", "item_type_id": "21", "owner": "20", "path": ["1582963436320", "1582965763232"], "permalink_uri": "https://meral.edu.mm/records/8316", "pubdate": {"attribute_name": "Deposit date", "attribute_value": "2022-10-19"}, "publish_date": "2022-10-19", "publish_status": "0", "recid": "8316", "relation": {}, "relation_version_is_last": true, "title": ["Forecasting The Electricity Consumption in Myanmar (1961-62 to 2019-2020) (The\u0027 Mya Thawdar Tin, 2022)"], "weko_shared_id": -1}